This podcast episode features Nick Frosst, co-founder of Cohere, who discusses the company's dedication to solving real-world business problems with AI, particularly through the innovative framework of Retrieval Augmented Generation (RAG), which enhances language models by providing verifiable sources to combat hallucinations. Nick emphasizes the importance of responsible tool use in language models, the need to distinguish between human intelligence and AI capabilities, and the evolution towards foundation models that require strong software engineering skills for effective deployment. The conversation also highlights the ethical considerations in data acquisition and the future trajectory of AI technology, advocating for a shift away from mere metrics to more meaningful evaluation based on practical problem-solving.
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