We have hosted the application treequest in order to run this application in our online workstations with Wine or directly.


Quick description about treequest:

TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms�such as AB?MCTS�for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial?and?error question answering by leveraging both breadth (multiple attempts) and depth (iterative refinement) strategies to find better outputs dynamically.

Features:
  • AB?MCTS-A and AB?MCTS?M algorithms
  • Support for multi?LLM generation strategies
  • Custom node-generation and scoring via user functions
  • Efficient checkpointing and resume capabilities
  • Pythonic, lightweight API for search control
  • Built-in utilities for extracting top?k states


Programming Language: Python.
Categories:
Artificial Intelligence

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