TorchTune: Making LLM Finetuning Accessible for Developers


Finetuning pre-trained language models (LLMs) has become a crucial step in many natural language processing (NLP) tasks. However, the process of finetuning can be daunting, especially for developers who are new to the field. TorchTune is a tool that aims to make finetuning LLMs more accessible and straightforward. In this talk, we will explore how TorchTune can help developers demystify the process of finetuning language models. We will discuss the tool's features, its ease of use, and how it can be integrated with various libraries and platforms. Join us to learn how TorchTune can help you streamline your LLM adaptation workflows and take your models to the next level.


Suraj is an ML engineer and developer advocate at Meta AI. In a previous life, he was a data scientist in personal finance. After being bitten by the deep learning bug, he worked in healthcare research (predicting patient risk factors) and behavioral finance (preventing overly-risky trading). Outside of work, you can find him hiking barefoot in the Catskills or being tossed on the Aikido mat.

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