#chain-of-thought reasoning

Matthew Fitzpatrick, CEO of Invisible Technologies, shares insights on combining human expertise and AI to scale automation, the importance of RLHF, and trends driving AI ROI in enterprises.

Microsoft's Phi-4-reasoning demonstrates that high-quality, curated data can enable smaller AI models to perform advanced reasoning tasks as effectively as much larger models, challenging the notion that bigger models are always better.

Google DeepMind researchers developed a reinforcement learning fine-tuning method that significantly improves large language models' ability to act on their reasoning, reducing the gap between knowledge and action.