Reasoning Models — How “Thinking” Actually Works
📰 Medium · LLM
Learn how LLMs mechanically process information and make decisions through training procedures and reward models
Action Steps
- Read about the training procedure of LLMs to understand how they learn
- Explore process reward models and their role in LLM decision-making
- Investigate GRPO and its application in LLMs
- Apply inference-time scaling to optimize LLM performance
- Analyze how these mechanical processes enable LLMs to make decisions and generate text
Who Needs to Know This
AI engineers and researchers can benefit from understanding the inner workings of LLMs to improve their models and applications
Key Insight
💡 LLMs make decisions through complex mechanical processes involving training, reward models, and scaling
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🤖 Discover how LLMs 'think' through mechanical processes like training procedures and reward models
Key Takeaways
Learn how LLMs mechanically process information and make decisions through training procedures and reward models
Full Article
o1, R1, LLM Thinking — what’s actually happening mechanically. The training procedure, process reward models, GRPO, inference-time scaling… Continue reading on Medium »
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