tot
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This module implements a post-training mechanism that allows a language model to explore various reasoning branches (chain-of-thoughts) using a Monte Carlo Tree Search (MCTS) framework. It selects the branch with the best answer using a cosine similarity evaluator that compares the candidate answer to a known correct answer.
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Feb 11, 2025 - Python
Tree of Thoughts (ToT) Monte Carlo Tree Search (MCTS) reasoning engine with UCB1 exploration-exploitation balance and state backpropagation.
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Sep 10, 2026 - Python
Tree of Thoughts (ToT) Monte Carlo Tree Search (MCTS) reasoning engine with UCB1 exploration-exploitation balance and state backpropagation.
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Updated
Sep 10, 2026 - Python
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