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Edge 355: A Taxonomy to Understand LLM Reasoning Methods

Edge 355: A Taxonomy to Understand LLM Reasoning Methods

Not all LLM reasoning methods are created equal. Here are the main categories to understand the different types of LLM reasoning techniques.

Dec 26, 2023
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Edge 355: A Taxonomy to Understand LLM Reasoning Methods
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A highly detailed illustration depicting an AI language model, represented as an advanced, sleek, silver robotic figure with a transparent head revealing intricate digital brain circuits. The robot is sitting at a modern, high-tech desk in a futuristic office, surrounded by holographic displays. These displays show various complex mathematical equations and diagrams being broken down into smaller, manageable steps. The robot's hands are gesturing, as if it's actively solving the problems, with a focus on clarity and precision in its approach. The background of the office is filled with other advanced technology and AI-themed decor, emphasizing a cutting-edge, intelligent environment.
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In this Issue:

  1. A taxonomy of the most relevant types of LLM reasoning methids.

  2. Microsoft’s MathPrompter research that can solve complex math reasoning tasks.

  3. Chain of Thought Hub which offers a consistent to evaluate reasoning capabilities in LLMs.

💡 ML Concept of the Day: A Taxonomy to Understand LLM Reasoning Methods

Reasoning is one of the newest and fastest areas of research in the LLM space. Methods such as chain-of-thought(CoT) have become popular within the LLM community but the space of reasoning expands way beyond those techniques. Below, we provide a simple taxonomy to understand the different LLM reasoning methods. However, to understand reasoning in LLMs, it would be helpful to start by understanding the different forms of reasoning. Traditional cognitive research outlines different forms of reasoning based on knowledge:

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