This podcast episode explores the reality of AI adoption in different companies, the evolution and maturing of data science and AI teams, early impressions of Apple Intelligence, criticism of Apple's reliance on open AI, challenges faced by large organizations when using third-party APIs, implications of using closed systems and productized AI systems, the importance of fine-tuning in retrieval augmented generation (RAG), strategies to improve RAG systems, limitations in traditional database retrieval methods, and the potential for exploring advanced techniques in RAG pipelines.
