A new technique combines the strengths of human cognition with algorithmic logic.
Jose Antonio Lanz3 min read
Overall, AoT represents a shift from supervised learning to integrating the search process itself. With refinements to prompt engineering, researchers believe this approach can enable models to solve complex real-world problems efficiently while also reducing their carbon impact.
Given its substantial AI investments, Microsoft seems well-positioned to incorporate AoT into advanced systems like GPT-4. Though challenging, teaching language models to "think" in this more human way could be transformative.
