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? ๐ค โ๏ธ 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. ๐โโ๏ธ๐โโ๏ธ will dig into how this approach challenges traditional fine-tuning pipelines. Register here: https://lu.ma/szk3zrbd
