Show HN: LLM Verified with Monte Carlo Tree Search

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    https://github.com/namin/llm-verified-with-monte-carlo-tree-...

    The main advantage of MCTS is that it takes care of the exploitation/exploration trade off based on the scores propagated by the child finder.

    I hope this helps. Let me know if this addresses your question.

  • This is a weekend hack that I'd like to further develop as it's working surprisingly well.

    Using MCTS, we can explore a space of possible verified programs with an LLM. We check the partial programs at each step, and so steer towards programs that pass the verifier.

    https://github.com/namin/llm-verified-with-monte-carlo-tree-...

  • 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.

    InfluxDB logo
  • https://github.com/ImparaAI/monte-carlo-tree-search

  • llama.cpp

    LLM inference in C/C++

  • Could this be combined with something like [llama.cpp's constraint-based grammar](https://github.com/ggerganov/llama.cpp/blob/master/grammars/...) to always enforce syntactically correct code output?

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