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  • How Reasoning Models are transforming Logical AI thinking | Microsoft . . .
    Unlike general-purpose LLMs which might generate direct answers, reasoning models are specifically trained to show their work and follow a more structured thought process Some models don’t show their logical reasoning phase while others explicitly show their logical reasoning phase
  • When to Use Reasoning Models in the LLM Era: A Practical Guide
    In this post, we’ll explore when to use reasoning models versus traditional non-reasoning LLMs, based on our practical experience at Leena AI Traditional LLMs like GPT-4o, Claude 3 5 Sonnet, and Llama 3 3 operate in such a way that they directly learns from the final output
  • Apple’s LLM study draws important distinction on reasoning models - 9to5Mac
    It systematically probes so-called Large Reasoning Models (LRMs) like Claude 3 7 and DeepSeek-R1 using controlled puzzles (Tower of Hanoi, Blocks World, etc ), instead of standard math
  • Understanding artificial intelligence: LLMs, generative AI and . . .
    But what do the terms LLM, generative AI and reasoning models actually mean? This article explains the most important concepts and adds further key developments in the field of AI What are LLMs (Large Language Models)?
  • Understanding Reasoning LLMs - sebastianraschka. com
    In this article, I will describe the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities I hope this provides valuable insights and helps you navigate the rapidly evolving literature and hype surrounding this topic In 2024, the LLM field saw increasing specialization
  • The Illusion of Thinking: Understanding the Strengths and Limitations . . .
    Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes before providing answers While these models demonstrate improved performance on reasoning benchmarks, their fundamental capabilities, scaling properties, and limitations remain insufficiently understood
  • General-Purpose vs Reasoning Models in Azure OpenAI
    In this blog, we'll explore the differences between two major categories of LLMs: General-Purpose Models – Designed for broad tasks like conversation, content generation, and multimodal input processing Reasoning Models – Optimized for tasks requiring logic, problem-solving, and step-by-step breakdowns
  • Understanding Reasoning in Large Language Models . . . - DigitalOcean
    As large language models (LLMs) like GPT-4, Claude, and Gemini continue to advance, researchers and developers are increasingly focusing on enhancing their reasoning capabilities — moving beyond simple text generation to more sophisticated, human-like thinking


















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