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Robots, Small Models, and RL with DeepSeek Alumnus Zihan Wang — #86

Manifold

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Advancements in Mixture of Experts for Language Models

This chapter explores the innovative application of mixture of experts in large language models, focusing on collaborative processing and reasoning improvements. It discusses the implications of chain of thought (COT) methodologies on expert specialization and the significance of iterative processing for model learning. Additionally, the chapter touches on funding challenges in AI research, the role of open-source efforts, and the future potential of AI in enhancing research productivity.

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