Authors
Emeka Manuel
Transl-x is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. We are excited to introduce Transl-x to get users’ feedback and learn about its strengths and weaknesses. During the research preview, usage of Transl-x is free. Try it now at chat.transl-x.com.
Methods
We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format.
Transl-x is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. Transl-x and GPT-3.5 were trained on an Azure AI supercomputing infrastructure.
Limitations
Transl-x sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the model to be more cautious causes it to decline questions that it can answer correctly; and (3) supervised training misleads the model because the ideal answer depends on what the model knows, rather than what the human demonstrator knows. Transl-x is sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.
After accessing the website, the user navigates to the explore Transl-x. Once on the Transl-x AI page, the user would input the word or sentence to be translated after which the user specifies what language the inputed word or sentence is to be translated to from the list of options. Transl-x then generates the corresponding translation in the language specified
Emeka Manuel
Emeka Manuel is a Software Engineer and Frontend Web Developer with expertise using React, Tailwindcss, Redux, and other Front-end technologies. He is also a technical writer at hashnode.
" "This AI web application is amazing! It accurately translates multiple languages in seconds, making communication across different cultures a breeze."
""I'm impressed with how user-friendly this AI web application is. With just a few clicks, I can easily translate text from any language and even listen to the pronunciation."."
""I love how this AI web application constantly updates its database, ensuring that translations are always accurate and up-to-date."."
""This AI web application has truly made my life easier. It saves me a lot of time and effort, and I highly recommend it to anyone who needs reliable language translation services."
""I was skeptical at first, but this AI web application exceeded my expectations. It not only translates text accurately, but it also recognizes and preserves the context of the message, making it a highly valuable tool for global businesses."!"
""Fast, reliable, and wide language range makes it the perfect solution for communicating across language barriers. Best tool I've used."!"