Researchers from Microsoft and UC Santa Barbara Propose LONGMEM: An AI Framework that Enables LLMs to Memorize Long History

Large language models (LLMs) have greatly improved the state-of-the-art in various understanding and generation tasks, revolutionizing natural language processing. Most LLMs gain from self-supervised training over huge corpora by gathering information from a fixed-sized local context and displaying emerging skills, including zero-shot prompting, in-context learning, and Chain-of-Thought (CoT) reasoning. The input length restriction of present […]

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