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Technologies like [Human-Assisted Machine Translation (HAMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhuman-assisted-mt) often integrate LLMs to achieve higher quality and more natural results.\n\n> *Learn more about LLMs and what they are able to do in the translation realm [in our blog](https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai\u002F \"https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai\u002F\").*","llm",[1879,1882,1885,1888,1891],{"id":1880,"slug":1881},169,"ai-powered-translation",{"id":1883,"slug":1884},293,"natural-language-processing-nlp",{"id":1886,"slug":1887},304,"language-modeling",{"id":1889,"slug":1890},439,"tiny-language-model-tlm",{"id":1892,"slug":1893},440,"small-language-model-slm",{"id":1895,"status":5,"owner":1872,"created_on":1873,"title":1896,"excerpt":1897,"content":1898,"slug":1899,"meta_title":877,"meta_description":877,"canonical":877,"related_terms":1900},189,"Neural Machine Translation (NMT)","A type of automated translation that uses artificial neural networks to predict the likelihood of a sequence of words, producing translations fast.\n","Neural Machine Translation (NMT) is an advanced approach to automated translation that uses artificial neural networks to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.\n\nNMT is a key component in the field of [machine translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation) and represents a significant advancement in [AI-powered translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fai-powered-translation) technology.\n\nUnlike earlier statistical methods, NMT can capture context and nuances in language, often resulting in more fluent and contextually appropriate translations.\n\n## 🧠 Key points about NMT:\n\n* NMT utilizes deep learning techniques, particularly Recurrent Neural Networks (RNNs) and transformers, to model the translation process. These systems learn to translate directly from source to target language without relying on extensive feature engineering.\n* While initially challenged by rare words, techniques like subword tokenization have improved NMT's ability to handle diverse vocabularies. NMT models can consider the entire input sentence, allowing for better handling of context and long-range dependencies.\n* Training NMT models typically requires significant computational resources and large parallel corpora.\n* Many NMT models incorporate attention mechanisms, allowing the system to focus on relevant parts of the input sentence when generating each word of the translation.\n* Pre-trained NMT models can be adapted to new language pairs or domains, reducing the need for extensive language-specific data.\n* Some models are trained on multiple language pairs simultaneously, enabling zero-shot translation between language pairs not seen during training.\n\nNMT has significantly improved the quality of machine translation across many language pairs and continues to be a primary focus of research and development in the field of AI-powered language technologies.","neural-machine-translation",[1901,1902,1904,1905,1908,1911],{"id":71,"slug":448},{"id":411,"slug":1903},"machine-learning-ml",{"id":1880,"slug":1881},{"id":1906,"slug":1907},186,"statistical-machine-translation",{"id":1909,"slug":1910},187,"example-based-machine-translation",{"id":1912,"slug":1913},188,"hybrid-machine-translation",{"id":1880,"status":5,"owner":1915,"created_on":1916,"title":1917,"excerpt":1918,"content":1919,"slug":1881,"meta_title":877,"meta_description":877,"canonical":877,"related_terms":1920},"d8c4ae49-7239-4b85-abb6-d1fa80ba09ad","2024-07-11T05:52:24.000Z","AI-powered translation","A type of automated translation that leverages artificial intelligence and machine learning technologies to automatically translate content from one language to another.","This approach enhances the speed and accuracy of translations by continuously learning and improving from large datasets.\n\n**AI-powered translation** is a subset of [Machine Translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation) closely related to [neural networks](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F\") that has evolved significantly with the advancements in AI. These technologies are crucial in handling large volumes of text quickly and efficiently, making them indispensable in modern translation workflows.\n\n> *For the latest insights and developments in AI-powered translation, explore our [AI-related blog articles](https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai).*",[1921,1922],{"id":71,"slug":448},{"id":1895,"slug":1899},"\"Can privacy and AI tools coexist?\" is a burning question in founders' and executives' minds. When the time to localize comes, many think of resorting to ChatGPT for help but are unsure about data security. Here is all you need to know about the topic to make an informed decision.","\u003Cp>Do we always have to trade our privacy for cutting-edge solutions?\u003C\u002Fp>\u003Cp>From Google through Facebook to ChatGPT — \u003Cstrong>it seems the magic of these platforms \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fkateoflahertyuk\u002F2024\u002F05\u002F17\u002Fchatgpt-4o-is-wildly-capable-but-it-could-be-a-privacy-nightmare\u002F\">\u003Cstrong>comes at the cost of your data\u003C\u002Fstrong>\u003C\u002Fa>. Your search history, preferences, photos, interests, and connections are no longer yours once you hit the \"Create new account\" button. The \"free\" platforms feed on your data, and AI security feels like a contradiction in terms.\u003C\u002Fp>\u003Cp>Is there a way out of this gloomy scenario? Can you keep cutting-edge technology and your privacy intact? Let's set aside the old tech giants for now and explore how ChatGPT, the new kid on the block, handles data privacy and informs its users about it.\u003C\u002Fp>\u003Cblockquote>🤓 New here? Check our previous article about this topic: \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-chatgpt-to-your-advantage-in-translation-with-examples-gpt-series-1\">How to use ChatGPT to your advantage in translation (with examples)\u003C\u002Fa>\u003C\u002Fblockquote>\u003Ch2 id=\"llms-and-their-nature-as-data-feeders\">🍽️ LLMs and their nature as data-feeders \u003Ca class=\"markdownit-header-anchor\" href=\"#llms-and-their-nature-as-data-feeders\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fllm\">Large Language Models (LLMs)\u003C\u002Fa>, such as ChatGPT, Gemini, or Claude, are sophisticated AI systems trained on large amounts of data to understand and generate human-like content. Unlike some humans, these models never stop learning. They continuously improve their performance by absorbing new information encountered during user interactions. \u003C\u002Fp>\u003Cp>LLMs are hungry for data and eager to consume anything you throw at them. While this insatiable hunger allows LLMs to deliver increasingly accurate and contextually relevant responses, it also raises significant privacy concerns.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1200\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>Once you enter a piece of text into ChatGPT, \u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F5722486-how-your-data-is-used-to-improve-model-performance\">it becomes part of the model's knowledge base\u003C\u002Fa>. This means that your input might be used to generate future outputs. And even though the company now offers an option \u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F7792795-how-do-i-turn-off-chat-history-and-model-training-web\">to turn off model training\u003C\u002Fa>, your prompt will still become visible to OpenAI as an organization. \u003C\u002Fp>\u003Cp>That's not an ideal scenario for data security\u003Cstrong> \u003C\u002Fstrong>enthusiasts, businesses planning to translate with AI, or anyone wary of sharing their unique creations with machines. If privacy is your priority, using LLMs might seem like playing with fire.\u003C\u002Fp>\u003Cblockquote>Once you enter a piece of text into GPT, it becomes part of the model's knowledge base unless you opt out of model training. But even then, your prompt will still become visible to OpenAI as an organization\u003C\u002Fblockquote>\u003Ch2 id=\"attempts-to-regulate-llms\">⚖️ Attempts to regulate LLMs \u003Ca class=\"markdownit-header-anchor\" href=\"#attempts-to-regulate-llms\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>The \u003Ca href=\"https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX:32024R1689\">EU AI Act\u003C\u002Fa>, which \u003Ca href=\"https:\u002F\u002Fcommission.europa.eu\u002Fnews\u002Fai-act-enters-force-2024-08-01_en\">came into force on August 1, 2024\u003C\u002Fa>, is a recent effort to tame the data-hungry beasts. It addresses potential risks to citizens' health, safety, and fundamental rights by imposing specific requirements and obligations on AI systems based on their risk level. \u003Cstrong>The act states that LLMs must be designed and deployed to prioritize data protection by design and default\u003C\u002Fstrong>, ensuring accountability at all stages of data processing. 🔍 It also requires transparency about how LLMs collect and process data, meaning users must be informed when interacting with AI.\u003C\u002Fp>\u003Cp>In addition, the act reinforces existing privacy laws like GDPR, \u003Cstrong>requiring explicit user consent\u003C\u002Fstrong> for data collection and processing. It also upholds individuals' rights to access, correct, and delete the data used in AI systems. Certain AI models, including some LLMs, may be classified as \"high-risk,\" subjecting them to stricter requirements around data quality, documentation, human oversight, and security.\u003C\u002Fp>\u003Cp>These regulations are designed to protect you and your data in theory, but nothing is guaranteed in practice yet. Only time will tell how effectively this new act will be enforced and whether AI providers will fully comply.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1333\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"custom-models-a-way-out-for-absolute-data-privacy\">🏗️ Custom models: a way out for absolute data privacy? \u003Ca class=\"markdownit-header-anchor\" href=\"#custom-models-a-way-out-for-absolute-data-privacy\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>You don't need to wait until all AI-powered solutions comply with the new laws. There's another way to use LLMs safely:\u003Cstrong> custom models\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>A custom AI model is a system tailored to specific tasks or datasets. Such models provide better performance and adaptability compared to generic ones. For example, if you're looking for safe AI translation, you could train the model with your translation memories, style guides, and glossaries to ensure it generates relevant content (see more tips \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-chatgpt-to-your-advantage-in-translation-with-examples-gpt-series-1#the-quest-for-the-missing-ingredient\">here\u003C\u002Fa>).\u003C\u002Fp>\u003Cblockquote>A custom AI model offers a better performance and adaptability compared to generic models, and can be trained with TMs, style guides and glossaries for translation purposes\u003C\u002Fblockquote>\u003Cp>Creating a custom model in ChatGPT is \u003Ca href=\"https:\u002F\u002Fzapier.com\u002Fblog\u002Fcustom-chatgpt\u002F\">a very straightforward process\u003C\u002Fa> that doesn't require any programming skills. If you follow the platform's guidelines, select a base model, add specific instructions, and define training data, you'll be able to adapt the model to your requirements. ✂️ As a bonus, you'll also minimize reliance on generalized models that may expose your data to other users.\u003C\u002Fp>\u003Cblockquote>🎙️ What do LLMs mean for linguists and the quality of localization now and onwards? We spoke to a language services agency CEO for his take. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fs02-ep-01-bridging-the-gap-podcast\">Listen here\u003C\u002Fa>\u003C\u002Fblockquote>\u003Ch3 id=\"other-measures-to-protect-your-data\">Other measures to protect your data \u003Ca class=\"markdownit-header-anchor\" href=\"#other-measures-to-protect-your-data\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F7730893-data-controls-faq\">OpenAI claims\u003C\u002Fa> it uses robust encryption methods to secure data both at rest and in transit. For sensitive interactions, such as data exchanges between users and AI models, the platform offers \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fenterprise-privacy\u002F\">two separate paid plans\u003C\u002Fa> that include enterprise authentication, allow you to control how long your data is retained and own your inputs and outputs. These features, however, are not available for lower-tier plans.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1333\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>If you enjoy experimenting,\u003Cstrong> you can tweak the model's settings to protect your data further \u003C\u002Fstrong>by:\u003C\u002Fp>\u003Cul>\u003Cli>📅 \u003Cstrong>Configuring data retention periods\u003C\u002Fstrong> based on regulatory requirements or organizational policies. \u003C\u002Fli>\u003Cli>❌\u003Cstrong> Disabling \"Chat History &amp; Training\" in the settings\u003C\u002Fstrong> to prevent data from being stored and used for training purposes. \u003C\u002Fli>\u003Cli>⏰ \u003Cstrong>Using temporary chats\u003C\u002Fstrong>. By choosing this option, your conversations will be deleted from OpenAI's systems within 30 days and will be only reviewed for potential abuse. This step will help you increase your privacy because the conversation data won't be used for training.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Remember to anonymize and pseudonymize data before providing it to the platform. To reduce privacy risks, \u003Cstrong>always remove personally identifiable information and other sensitive content from your datasets \u003C\u002Fstrong>and review your prompts, instructions, or translation data before hitting Enter.\u003C\u002Fp>\u003Ch2 id=\"are-other-llms-safer\">🤔 Are other LLMs safer? \u003Ca class=\"markdownit-header-anchor\" href=\"#are-other-llms-safer\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>With some safety measures, you can limit the risk of data breaches in ChatGPT. But what about other LLMs? Do they offer better data protection?\u003C\u002Fp>\u003Cp>To build robust AI safety fundamentals, make sure to look through the data privacy policy before you start using \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgemini\u002Fanswer\u002F13594961?hl=en&amp;ref_topic=15280100&amp;sjid=8234157346203538936-EU\">Gemini\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Flegal\u002Fprivacy\">Claude\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.deepl.com\u002Fen\u002Fprivacy\">DeepL\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fcopilot\u002Fmicrosoft-365\u002Fmicrosoft-365-copilot-privacy\">Microsoft Copilot\u003C\u002Fa>, or any other platform. For example, \u003Cstrong>DeepL\u003C\u002Fstrong> doesn't store user data beyond the session duration, and it's usually considered safe, especially for translation tasks. \u003Cstrong>Claude\u003C\u002Fstrong> focuses on ethical AI and adheres to relevant data protection regulations, including CCPA, GDPR, and HIPAA. It also ensures users can customize permissions and manage who has access to their data. \u003C\u002Fp>\u003Cp>Similarly, \u003Cstrong>Microsoft Copilot\u003C\u002Fstrong> guarantees user data is gathered, processed, and retained according to the strictest standards and regulations. It focuses on data anonymization, pseudonymization, and minimization. Copilot interactions are not used to train the underlying AI models. Additionally, administrators can control whether end-user feedback, which may include prompts and responses, is sent to Microsoft.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1334\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>\u003Cstrong>Gemini\u003C\u002Fstrong> follows suit and employs similar data protection strategies. It adheres to relevant EU and US regulations, focuses on data minimization, and allows user controls to manage access to data. If you're concerned about data retention, here's a minor setback: Google, which owns Gemini, retains data for a default period of 18 months. 🗓️ You can limit this period to three months and disable Gemini Apps activity to avoid saving conversations. But even in this case, Gemini will store your conversations in your account for up to 72 hours as a backup and for sharing with other Google services and third-party services. That's not good news for those concerned about data privacy.\u003C\u002Fp>\u003Ch2 id=\"and-the-winner-is\">🏆 And the winner is… \u003Ca class=\"markdownit-header-anchor\" href=\"#and-the-winner-is\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>If you're wondering which LLM ranks highest in terms of safety, I hate to disappoint you: there is no clear winner. The truth is that \u003Cstrong>all the LLMs mentioned above use similar encryption methods, claim to adhere to the same regulations, and follow comparable design principles\u003C\u002Fstrong>. \u003C\u002Fp>\u003Cp>While there are differences in data retention and usage for further training, no model stands out significantly above the rest. However, some users are particularly concerned about Google's Gemini and Microsoft's Copilot due to their vast ecosystems and extensive data integration across other services.\u003C\u002Fp>\u003Cp>Then, what's the solution? Using these tips as a rule of thumb can help:\u003C\u002Fp>\u003Cul>\u003Cli>📑 \u003Cstrong>Always read the fine print\u003C\u002Fstrong> before entering prompts or sharing your data. \u003C\u002Fli>\u003Cli>📦 \u003Cstrong>Don't use the tool out of the box: \u003C\u002Fstrong>adjust user permissions and opt out of storing or collecting your inputs for AI training wherever possible. \u003C\u002Fli>\u003Cli>💬 Remember to \u003Cstrong>review conversation settings \u003C\u002Fstrong>and disable unnecessary integrations with other services.\u003C\u002Fli>\u003C\u002Ful>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAI.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1460\" height=\"1000\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAI.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAI.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAI.png 1460w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"how-does-localazy-process-your-data\">➡️ How does Localazy process your data? \u003Ca class=\"markdownit-header-anchor\" href=\"#how-does-localazy-process-your-data\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Once you know how to mitigate data privacy concerns, you might want to experiment with AI-powered translation. One way to do that is to use Localazy.\u003C\u002Fp>\u003Cp>Log in to your OpenAI account with all the safety settings tweaked as explained above and pre-translate your content within the interface or app using your custom model. Next, upload the generated text into Localazy and disable the MT feature. You don't need to worry about your data safety: \u003Cstrong>Localazy only sends the translation source and glossary context to OpenAI\u003C\u002Fstrong>,\u003Cstrong> which happens exclusively if you enable this feature\u003C\u002Fstrong>. Your translation remains safe within the Localazy interface, where you can process, review, and edit it.\u003C\u002Fp>\u003Cp>To ensure your data remains secure, Localazy has also implemented several robust measures. For example, \u003Ca href=\"https:\u002F\u002Fwww.scaleway.com\u002Fen\u002Fblog\u002Fintroducing-dc5-hyper-scale-mechanical-cooling-datacenter\u002F\">we store all our data in Scaleway servers\u003C\u002Fa>, known for their high level of security. \u003Ca href=\"https:\u002F\u002Fwww.iafcertsearch.org\u002Fcertified-entity\u002Fr7QWrqInOMHFd5yjvSPtvKj1\">We are also ISO 27001 certified\u003C\u002Fa>, which demonstrates that our company adheres to internationally recognized information security management standards.\u003C\u002Fp>\u003Cblockquote>🛠️ You can configure OpenAI for your Localazy projects \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fconsole\u002Fai\">from our console\u003C\u002Fa>. Remember you'll need an OpenAI token and to be subscribed to the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftiers\u002Fautopilot\">Autopilot plan\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>Additionally, to enhance control over who can access your data, you can manage the access rights of your team members and collaborators through Localazy's \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Flanguage-permissions\">granular permission settings\u003C\u002Fa> and create private projects. On top of that, our platform complies with relevant data protection regulations, such as GDPR, and performs regular security audits. It also focuses on the data minimization principle, collecting only necessary information. All this means you can safely use Localazy for your projects, knowing that the risks for AI translation are limited.\u003C\u002Fp>\u003Cp>Although Localazy doesn't offer customer LLM models yet, there are plans to develop efficient solutions that will let you smoothly use LLMs within the tool's interface. Stay tuned for more! 👀\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002Fbadges-secured-1.svg\" class=\"kg-image\" alt loading=\"lazy\" width=\"560\" height=\"233\">\u003C\u002Ffigure>\u003Ch2 id=\"the-way-out-of-the-gloomy-scenario\">🔦 The way out of the gloomy scenario \u003Ca class=\"markdownit-header-anchor\" href=\"#the-way-out-of-the-gloomy-scenario\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>You don't have to trade your data for access to high-end technology. \u003Cstrong>To use LLMs safely, opt for custom models, adjust safety settings, and don't assume anything\u003C\u002Fstrong>. Familiarize yourself with data privacy policies, as each solution offers different levels of security. The more you know about the tool and how it processes and stores your data, the easier it will be to make the right choice that meets your requirements.\u003C\u002Fp>\u003Cp>And if your specific needs include translation with AI, review our \u003Ca href=\"https:\u002F\u002Fdiscuss.localazy.com\u002Fprivacy\">Privacy Policy\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fterms-and-conditions\">Terms and Conditions\u003C\u002Fa> for more details about the safety of your projects in Localazy. Happy localizing! \u003C\u002Fp>",{"id":61,"status":5,"created_on":1926,"modified_on":1927,"icon":1928,"header":1929,"description":1930,"button_label":1931,"link":1932},"2022-03-17T12:23:03.000Z","2024-01-18T13:15:16.000Z","app","Try Localazy today","Start localizing your project today with our TMS! Enjoy localization on autopilot and order professional translation services, all from the same spot.","Register","register",{"slug":1861,"id":1858,"uuid":1934,"title":1860,"html":1935,"comment_id":1858,"feature_image":1864,"featured":162,"visibility":1936,"email_recipient_filter":1937,"created_at":1938,"updated_at":1862,"published_at":1863,"custom_excerpt":1923,"codeinjection_head":10,"codeinjection_foot":10,"custom_template":10,"canonical_url":10,"authors":1939,"tags":1945,"primary_author":1980,"primary_tag":1981,"url":1982,"excerpt":1923,"reading_time":53,"access":162,"send_email_when_published":160,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"email_subject":10,"frontmatter":10,"dictionary":1869,"cta":1925,"plainTags":1865},"375a8f0c-2df7-4f72-9867-5d37e1c22b88","\u003Cp>Do we always have to trade our privacy for cutting-edge solutions?\u003C\u002Fp>\u003Cp>From Google through Facebook to ChatGPT — \u003Cstrong>it seems the magic of these platforms \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fkateoflahertyuk\u002F2024\u002F05\u002F17\u002Fchatgpt-4o-is-wildly-capable-but-it-could-be-a-privacy-nightmare\u002F\">\u003Cstrong>comes at the cost of your data\u003C\u002Fstrong>\u003C\u002Fa>. Your search history, preferences, photos, interests, and connections are no longer yours once you hit the \"Create new account\" button. The \"free\" platforms feed on your data, and AI security feels like a contradiction in terms.\u003C\u002Fp>\u003Cp>Is there a way out of this gloomy scenario? Can you keep cutting-edge technology and your privacy intact? Let's set aside the old tech giants for now and explore how ChatGPT, the new kid on the block, handles data privacy and informs its users about it.\u003C\u002Fp>\u003Cblockquote>🤓 New here? Check our previous article about this topic: \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-chatgpt-to-your-advantage-in-translation-with-examples-gpt-series-1\">How to use ChatGPT to your advantage in translation (with examples)\u003C\u002Fa>\u003C\u002Fblockquote>\u003Ch2 id=\"%F0%9F%8D%BD%EF%B8%8F-llms-and-their-nature-as-data-feeders\">🍽️ LLMs and their nature as data-feeders\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fllm\">Large Language Models (LLMs)\u003C\u002Fa>, such as ChatGPT, Gemini, or Claude, are sophisticated AI systems trained on large amounts of data to understand and generate human-like content. Unlike some humans, these models never stop learning. They continuously improve their performance by absorbing new information encountered during user interactions. \u003C\u002Fp>\u003Cp>LLMs are hungry for data and eager to consume anything you throw at them. While this insatiable hunger allows LLMs to deliver increasingly accurate and contextually relevant responses, it also raises significant privacy concerns.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1200\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_876079128.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>Once you enter a piece of text into ChatGPT, \u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F5722486-how-your-data-is-used-to-improve-model-performance\">it becomes part of the model's knowledge base\u003C\u002Fa>. This means that your input might be used to generate future outputs. And even though the company now offers an option \u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F7792795-how-do-i-turn-off-chat-history-and-model-training-web\">to turn off model training\u003C\u002Fa>, your prompt will still become visible to OpenAI as an organization. \u003C\u002Fp>\u003Cp>That's not an ideal scenario for data security\u003Cstrong> \u003C\u002Fstrong>enthusiasts, businesses planning to translate with AI, or anyone wary of sharing their unique creations with machines. If privacy is your priority, using LLMs might seem like playing with fire.\u003C\u002Fp>\u003Cblockquote>Once you enter a piece of text into GPT, it becomes part of the model's knowledge base unless you opt out of model training. But even then, your prompt will still become visible to OpenAI as an organization\u003C\u002Fblockquote>\u003Ch2 id=\"%E2%9A%96%EF%B8%8F-attempts-to-regulate-llms\">⚖️ Attempts to regulate LLMs\u003C\u002Fh2>\u003Cp>The \u003Ca href=\"https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX:32024R1689\">EU AI Act\u003C\u002Fa>, which \u003Ca href=\"https:\u002F\u002Fcommission.europa.eu\u002Fnews\u002Fai-act-enters-force-2024-08-01_en\">came into force on August 1, 2024\u003C\u002Fa>, is a recent effort to tame the data-hungry beasts. It addresses potential risks to citizens' health, safety, and fundamental rights by imposing specific requirements and obligations on AI systems based on their risk level. \u003Cstrong>The act states that LLMs must be designed and deployed to prioritize data protection by design and default\u003C\u002Fstrong>, ensuring accountability at all stages of data processing. 🔍 It also requires transparency about how LLMs collect and process data, meaning users must be informed when interacting with AI.\u003C\u002Fp>\u003Cp>In addition, the act reinforces existing privacy laws like GDPR, \u003Cstrong>requiring explicit user consent\u003C\u002Fstrong> for data collection and processing. It also upholds individuals' rights to access, correct, and delete the data used in AI systems. Certain AI models, including some LLMs, may be classified as \"high-risk,\" subjecting them to stricter requirements around data quality, documentation, human oversight, and security.\u003C\u002Fp>\u003Cp>These regulations are designed to protect you and your data in theory, but nothing is guaranteed in practice yet. Only time will tell how effectively this new act will be enforced and whether AI providers will fully comply.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1333\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_192053716.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%8F%97%EF%B8%8F-custom-models-a-way-out-for-absolute-data-privacy\">🏗️ Custom models: a way out for absolute data privacy?\u003C\u002Fh2>\u003Cp>You don't need to wait until all AI-powered solutions comply with the new laws. There's another way to use LLMs safely:\u003Cstrong> custom models\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>A custom AI model is a system tailored to specific tasks or datasets. Such models provide better performance and adaptability compared to generic ones. For example, if you're looking for safe AI translation, you could train the model with your translation memories, style guides, and glossaries to ensure it generates relevant content (see more tips \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-chatgpt-to-your-advantage-in-translation-with-examples-gpt-series-1#the-quest-for-the-missing-ingredient\">here\u003C\u002Fa>).\u003C\u002Fp>\u003Cblockquote>A custom AI model offers a better performance and adaptability compared to generic models, and can be trained with TMs, style guides and glossaries for translation purposes\u003C\u002Fblockquote>\u003Cp>Creating a custom model in ChatGPT is \u003Ca href=\"https:\u002F\u002Fzapier.com\u002Fblog\u002Fcustom-chatgpt\u002F\">a very straightforward process\u003C\u002Fa> that doesn't require any programming skills. If you follow the platform's guidelines, select a base model, add specific instructions, and define training data, you'll be able to adapt the model to your requirements. ✂️ As a bonus, you'll also minimize reliance on generalized models that may expose your data to other users.\u003C\u002Fp>\u003Cblockquote>🎙️ What do LLMs mean for linguists and the quality of localization now and onwards? We spoke to a language services agency CEO for his take. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fs02-ep-01-bridging-the-gap-podcast\">Listen here\u003C\u002Fa>\u003C\u002Fblockquote>\u003Ch3 id=\"other-measures-to-protect-your-data\">Other measures to protect your data\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F7730893-data-controls-faq\">OpenAI claims\u003C\u002Fa> it uses robust encryption methods to secure data both at rest and in transit. For sensitive interactions, such as data exchanges between users and AI models, the platform offers \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fenterprise-privacy\u002F\">two separate paid plans\u003C\u002Fa> that include enterprise authentication, allow you to control how long your data is retained and own your inputs and outputs. These features, however, are not available for lower-tier plans.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1333\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_786125540.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>If you enjoy experimenting,\u003Cstrong> you can tweak the model's settings to protect your data further \u003C\u002Fstrong>by:\u003C\u002Fp>\u003Cul>\u003Cli>📅 \u003Cstrong>Configuring data retention periods\u003C\u002Fstrong> based on regulatory requirements or organizational policies. \u003C\u002Fli>\u003Cli>❌\u003Cstrong> Disabling \"Chat History &amp; Training\" in the settings\u003C\u002Fstrong> to prevent data from being stored and used for training purposes. \u003C\u002Fli>\u003Cli>⏰ \u003Cstrong>Using temporary chats\u003C\u002Fstrong>. By choosing this option, your conversations will be deleted from OpenAI's systems within 30 days and will be only reviewed for potential abuse. This step will help you increase your privacy because the conversation data won't be used for training.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Remember to anonymize and pseudonymize data before providing it to the platform. To reduce privacy risks, \u003Cstrong>always remove personally identifiable information and other sensitive content from your datasets \u003C\u002Fstrong>and review your prompts, instructions, or translation data before hitting Enter.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%A4%94-are-other-llms-safer\">🤔 Are other LLMs safer?\u003C\u002Fh2>\u003Cp>With some safety measures, you can limit the risk of data breaches in ChatGPT. But what about other LLMs? Do they offer better data protection?\u003C\u002Fp>\u003Cp>To build robust AI safety fundamentals, make sure to look through the data privacy policy before you start using \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgemini\u002Fanswer\u002F13594961?hl=en&amp;ref_topic=15280100&amp;sjid=8234157346203538936-EU\">Gemini\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Flegal\u002Fprivacy\">Claude\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.deepl.com\u002Fen\u002Fprivacy\">DeepL\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fcopilot\u002Fmicrosoft-365\u002Fmicrosoft-365-copilot-privacy\">Microsoft Copilot\u003C\u002Fa>, or any other platform. For example, \u003Cstrong>DeepL\u003C\u002Fstrong> doesn't store user data beyond the session duration, and it's usually considered safe, especially for translation tasks. \u003Cstrong>Claude\u003C\u002Fstrong> focuses on ethical AI and adheres to relevant data protection regulations, including CCPA, GDPR, and HIPAA. It also ensures users can customize permissions and manage who has access to their data. \u003C\u002Fp>\u003Cp>Similarly, \u003Cstrong>Microsoft Copilot\u003C\u002Fstrong> guarantees user data is gathered, processed, and retained according to the strictest standards and regulations. It focuses on data anonymization, pseudonymization, and minimization. Copilot interactions are not used to train the underlying AI models. Additionally, administrators can control whether end-user feedback, which may include prompts and responses, is sent to Microsoft.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg\" class=\"kg-image\" alt loading=\"lazy\" width=\"2000\" height=\"1334\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw2400\u002F2024\u002F09\u002FAdobeStock_463846799.jpeg 2400w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Cp>\u003Cstrong>Gemini\u003C\u002Fstrong> follows suit and employs similar data protection strategies. It adheres to relevant EU and US regulations, focuses on data minimization, and allows user controls to manage access to data. If you're concerned about data retention, here's a minor setback: Google, which owns Gemini, retains data for a default period of 18 months. 🗓️ You can limit this period to three months and disable Gemini Apps activity to avoid saving conversations. But even in this case, Gemini will store your conversations in your account for up to 72 hours as a backup and for sharing with other Google services and third-party services. That's not good news for those concerned about data privacy.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%8F%86-and-the-winner-is%E2%80%A6\">🏆 And the winner is…\u003C\u002Fh2>\u003Cp>If you're wondering which LLM ranks highest in terms of safety, I hate to disappoint you: there is no clear winner. The truth is that \u003Cstrong>all the LLMs mentioned above use similar encryption methods, claim to adhere to the same regulations, and follow comparable design principles\u003C\u002Fstrong>. \u003C\u002Fp>\u003Cp>While there are differences in data retention and usage for further training, no model stands out significantly above the rest. However, some users are particularly concerned about Google's Gemini and Microsoft's Copilot due to their vast ecosystems and extensive data integration across other services.\u003C\u002Fp>\u003Cp>Then, what's the solution? Using these tips as a rule of thumb can help:\u003C\u002Fp>\u003Cul>\u003Cli>📑 \u003Cstrong>Always read the fine print\u003C\u002Fstrong> before entering prompts or sharing your data. \u003C\u002Fli>\u003Cli>📦 \u003Cstrong>Don't use the tool out of the box: \u003C\u002Fstrong>adjust user permissions and opt out of storing or collecting your inputs for AI training wherever possible. \u003C\u002Fli>\u003Cli>💬 Remember to \u003Cstrong>review conversation settings \u003C\u002Fstrong>and disable unnecessary integrations with other services.\u003C\u002Fli>\u003C\u002Ful>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAI.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1460\" height=\"1000\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2024\u002F09\u002FAI.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2024\u002F09\u002FAI.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002FAI.png 1460w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"%E2%9E%A1%EF%B8%8F-how-does-localazy-process-your-data\">➡️ How does Localazy process your data?\u003C\u002Fh2>\u003Cp>Once you know how to mitigate data privacy concerns, you might want to experiment with AI-powered translation. One way to do that is to use Localazy.\u003C\u002Fp>\u003Cp>Log in to your OpenAI account with all the safety settings tweaked as explained above and pre-translate your content within the interface or app using your custom model. Next, upload the generated text into Localazy and disable the MT feature. You don't need to worry about your data safety: \u003Cstrong>Localazy only sends the translation source and glossary context to OpenAI\u003C\u002Fstrong>,\u003Cstrong> which happens exclusively if you enable this feature\u003C\u002Fstrong>. Your translation remains safe within the Localazy interface, where you can process, review, and edit it.\u003C\u002Fp>\u003Cp>To ensure your data remains secure, Localazy has also implemented several robust measures. For example, \u003Ca href=\"https:\u002F\u002Fwww.scaleway.com\u002Fen\u002Fblog\u002Fintroducing-dc5-hyper-scale-mechanical-cooling-datacenter\u002F\">we store all our data in Scaleway servers\u003C\u002Fa>, known for their high level of security. \u003Ca href=\"https:\u002F\u002Fwww.iafcertsearch.org\u002Fcertified-entity\u002Fr7QWrqInOMHFd5yjvSPtvKj1\">We are also ISO 27001 certified\u003C\u002Fa>, which demonstrates that our company adheres to internationally recognized information security management standards.\u003C\u002Fp>\u003Cblockquote>🛠️ You can configure OpenAI for your Localazy projects \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fconsole\u002Fai\">from our console\u003C\u002Fa>. Remember you'll need an OpenAI token and to be subscribed to the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftiers\u002Fautopilot\">Autopilot plan\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>Additionally, to enhance control over who can access your data, you can manage the access rights of your team members and collaborators through Localazy's \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Flanguage-permissions\">granular permission settings\u003C\u002Fa> and create private projects. On top of that, our platform complies with relevant data protection regulations, such as GDPR, and performs regular security audits. It also focuses on the data minimization principle, collecting only necessary information. All this means you can safely use Localazy for your projects, knowing that the risks for AI translation are limited.\u003C\u002Fp>\u003Cp>Although Localazy doesn't offer customer LLM models yet, there are plans to develop efficient solutions that will let you smoothly use LLMs within the tool's interface. Stay tuned for more! 👀\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F09\u002Fbadges-secured-1.svg\" class=\"kg-image\" alt loading=\"lazy\" width=\"560\" height=\"233\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%94%A6-the-way-out-of-the-gloomy-scenario\">🔦 The way out of the gloomy scenario\u003C\u002Fh2>\u003Cp>You don't have to trade your data for access to high-end technology. \u003Cstrong>To use LLMs safely, opt for custom models, adjust safety settings, and don't assume anything\u003C\u002Fstrong>. Familiarize yourself with data privacy policies, as each solution offers different levels of security. The more you know about the tool and how it processes and stores your data, the easier it will be to make the right choice that meets your requirements.\u003C\u002Fp>\u003Cp>And if your specific needs include translation with AI, review our \u003Ca href=\"https:\u002F\u002Fdiscuss.localazy.com\u002Fprivacy\">Privacy Policy\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fterms-and-conditions\">Terms and Conditions\u003C\u002Fa> for more details about the safety of your projects in Localazy. Happy localizing! \u003C\u002Fp>","public","none","2024-07-30T19:14:15.000+02:00",[1940],{"id":1817,"name":1818,"slug":1819,"profile_image":1820,"cover_image":10,"bio":1941,"website":1942,"location":1943,"facebook":10,"twitter":10,"meta_title":10,"meta_description":10,"url":1944},"Localization consultant, prompt engineer, and translator specializing in IT. I teach online courses on localization and enjoy writing about AI.","http:\u002F\u002Fwww.dorotapawlak.eu","Amsterdam, 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