AlphaMath Almost Zero: process Supervision without process | LLM + Planning = Better Maths Reasoning

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The video discusses the ICLR 2023 paper "AlphaMath Almost Zero: process Supervision without process" that uses Monte Carlo Tree Search (MCTS), a planning algorithm, to do improve reasoning abilities og LLMs like GPT and LLama3. Paper: AlphaMath Almost Zero: process Supervision without process https://arxiv.org/pdf/2405.03553 Link to the other related videos: 1. Introduction to Reinforcement Learning and Planning (with running example) https://youtu.be/cLA-tojed0s 2. Multi-arm Bandits and Upper Confidence Bound (UCB) https://youtu.be/rm2HoK6KAbk 3. Monte Carlo Tree Search (MCTS) explained with a detailed example https://youtu.be/reoP5usaYU4 4. Planning with LLMs for Code Generation | ICLR 2023 https://youtu.be/_rNWJ9ROESI Chapters: 00:00 - Intro 00:21 - Goal of the paper 00:57 - Introduction and Premise of the paper 03:08 - Program of Thought 04:47 - Steps in paper's solution 06:09 - Preliminaries (Defining MDP) 11:44 - How is MCTS applied? 13:08 - Selection and PUCT 20:03 - Value Function using LLM 21:05 - Iterative Training (Loss Function for SFT) 22:42 - Inference using MCTS 26:34 - Summary of the Paper #AIResearch #75HardResearch #75HardAI #ResearchPaperExplained #LLM #MathReasoning #MCTS #Planning

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