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16min chapter
Cohere co-founder Nick Frosst on building LLM apps for business
Machine Learning Street Talk (MLST)
Advancements in Language Models
This chapter explores key developments in language models, focusing on retrieval augmented generation (RAG) as a notable advancement to combat hallucinations and improve accuracy. It discusses the challenges developers face in applying these models, the necessity of reliable interfaces, and the role of external tools to enhance generative capabilities. The conversation highlights the philosophical implications of agency in AI and contrasts traditional intelligence definitions with more dynamic concepts relevant to language models.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode