Reasoning Models — How “Thinking” Actually Works
📰 Medium · Deep Learning
Learn how reasoning models work mechanically through training procedures and process reward models
Action Steps
- Read about the training procedure of LLMs to understand how they learn
- Explore process reward models and their role in shaping LLM behavior
- Investigate GRPO and its impact on inference-time scaling
- Apply knowledge of reasoning models to design more efficient AI systems
- Test and evaluate the performance of LLMs in various tasks and scenarios
Who Needs to Know This
AI engineers and researchers can benefit from understanding the mechanical workings of reasoning models to improve their designs and applications
Key Insight
💡 Reasoning models rely on complex training procedures and process reward models to generate human-like responses
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🤖 Discover the mechanical workings of reasoning models and how they enable AI to think
Key Takeaways
Learn how reasoning models work mechanically through training procedures and process 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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