Recursively Summarizing Enables Long-Term Dialogue Memory in LLMs

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  • Funnel-Transformer

  • > incidentally, this isn't far off from how the human brain is believed to work (at least with long term memories).

    Not as literal words printed somewhere in our mind it isn't. This is more akin to things like the funnel transformer. [0] Nevermind that we hardly understand how our minds actually work.

    [0]: https://github.com/laiguokun/Funnel-Transformer

  • tree-of-thought-puzzle-solver

    The Tree of Thoughts (ToT) framework for solving complex reasoning tasks using LLMs

  • These folks think so.

    https://github.com/jieyilong/tree-of-thought-puzzle-solver

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • ai-pr-reviewer

    Discontinued AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.

  • We have been doing this at CodeRabbit[0] for incrementally reviewing PRs and allowing conversations in the context of code changes, giving the impression that the bot has much more context than it has.

    For each commit, we summarize diff for each file. Then we create a summary of summaries which is incrementally updated as further commits are made on a pull request. This summary of summaries is saved, hidden inside a comment on a pull request, and is used while reviewing each file and answering the user's queries.

    Some of our code is in the open source. Here is the link to the relevant prompt for recursive summarization - https://github.com/coderabbitai/ai-pr-reviewer/blob/main/src...

    [0]: coderabbit.ai

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