Why We Think
📰 Lilian Weng's Blog
Understanding how models think and utilize test-time compute can improve performance
Action Steps
- Review recent developments in test-time compute and CoT
- Understand how thinking in tokens and continuous space can improve model performance
- Explore the use of latent variables and scaling laws for thinking time
Who Needs to Know This
AI engineers and researchers can benefit from this post as it discusses recent developments in using test-time compute and Chain-of-thought (CoT) to improve model performance
Key Insight
💡 Enabling models to think for longer can lead to significant improvements in performance
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💡 Improving model performance with test-time compute and Chain-of-thought (CoT)
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