Reasoning Models — How “Thinking” Actually Works
📰 Medium · Machine Learning
Learn how reasoning models work mechanically through training procedures and process reward models
Action Steps
- Explore the training procedure of LLMs to understand how they learn
- Analyze process reward models and their role in shaping the behavior of LLMs
- Investigate GRPO and its application in inference-time scaling
- Apply knowledge of reasoning models to improve the performance of AI systems
- Configure and test different models to compare their results
Who Needs to Know This
Machine learning engineers and researchers can benefit from understanding the mechanical workings of reasoning models to improve their AI systems
Key Insight
💡 Reasoning models learn through complex training procedures and process reward models
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🤖 Discover the mechanical workings of reasoning models and improve your AI systems
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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