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NotebookLM Podcast Deep Dive into CoE
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NotebookLM Podcast Deep Dive into CoE

I gave my post on Competition of Experts (CoE) to Gemini’s NotebookLM to make into a podcast. What I got was interesting, but not quite what I expected. Here is the description it wrote about my post:

Competition of Experts: A Novel Approach to LLM Consensus

The provided text explores a novel approach to large language model (LLM) collaboration called Competition of Experts (CoE). Unlike existing Mixture of Experts (MoE) methods that route queries to a single specialist, CoE involves multiple LLMs simultaneously answering a question and then iteratively critiquing each other's responses until a consensus emerges. Several LLMs are used to analyze the viability and challenges of CoE, comparing it to related concepts like AI debate and multi-agent systems. The discussion highlights potential benefits, such as enhanced robustness and the discovery of unexpected insights, alongside significant technical hurdles, including computational cost and the reliability of LLM critiques. Ultimately, the LLMs reach a consensus favoring a hybrid approach that combines aspects of CoE with existing MoE techniques to create a more efficient and effective system.

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