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Advancements in AI Reasoning and Learning
This chapter explores innovative AI training methodologies, including post-training techniques that enhance reasoning capabilities in language models. It highlights the potential of small models in making AI more efficient and capable of complex reasoning through structured thought processes. Additionally, the chapter discusses the implications of recursive self-improvement and the necessity for human interaction in refining AI intelligence, all while addressing the challenges of accessibility to advanced computational resources.