Open Source LLMs (such as LLaMA 2 and Code LLaMA) have shown remarkable performance in mainstream languages like Python and JavaScript (https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard). However, there's a whole spectrum of languages and documentation with smaller communities that are yet to be fully explored.
At Tweag, we want to advance the performance of Open Source LLMs on under-represented programming languages and frameworks. We’re looking for an intern to join our team for 5-6 months, preferably in our Paris office.
The work involves crafting labeled datasets, evaluating model performance on custom coding and Q&A tasks, and exploring and implementing efficient and cutting-edge algorithms to fine-tune open source models. There’s moreover the opportunity to communicate your work and findings and contribute to the broader AI community.
We’re looking for a self-driven candidate with a good command of English, strong analytical skills and a knowledge in Machine Learning, Deep Learning, and Python. AWS is a welcome plus!
Tweag is a tech consultancy with a track record of contributing to Open Source projects and community. We are especially known for our contributions to Haskell, Nix and Bazel. Check out our blog (https://www.tweag.io/blog) to learn more.
At Tweag, we believe that outstanding teams have diversity of background and thought. More than the qualifications listed on your resume, if you're excited about this opportunity, let us hear from you!
Interested? Apply now!
