Scaling LLM Challenges
John discusses the complexities of scaling algorithms, particularly in relation to large language models (LLMs). He highlights the inefficiencies of handling infinite context and the challenges of compressing vast amounts of input into a manageable size. Additionally, the potential for continual learning raises concerns about the risk of degrading LLM performance if incorrect information is introduced.In this clip
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