Join Authors for Insight on Self-Adapting LLMs Framework

For our paper read this week we're doing something a little special (that we're working to make more regular): two of the authors will join us to talk through the paper and take your questions. The question they tackle in this one: What if LLMs could generate their own finetuning data and optimization instructions in response to new tasks or information? 🤔 ✔️ Self-Adapting LLMs (SEAL) is a framework they developed that shows a promising step towards that. It enables LLMs to generate their own fine tuning data and optimization strategies to persistently adapt their weights. Your hosts Dylan C. and Parth S. 💁‍♂️💁‍♂️ will dig into how this approach challenges traditional fine-tuning pipelines. Register here: https://lu.ma/szk3zrbd