Companion materials for our survey of how execution experience becomes persistent harness state under a fixed base model. The survey covers update mechanisms, evolutionary search, continual PAC learning, evaluation, applications, and societal impact.
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Related Codes: - Large language model evaluation: [llm-eval] - Large language model enhancement: [llm-enhance] - Robust machine learning: [robustlearn: robust machine learning] - Semi-supervised learning: [USB: unified semi-supervised learning benchmark] | [TorchSSL: a unified…
A curated (still actively updated) list of practical guide resources of LLMs. It's based on our survey paper: Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond and efforts from @xinyadu. The survey is partially based on the second half of this Blog.