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Explore the evolving landscape of in-house machine learning teams in this thought-provoking conference talk from Data Science Conference Europe 2023. Dive into the critical dilemma facing organizations with established ML capabilities as they navigate the future of artificial intelligence. Learn about the strategic choices between transitioning to AI engineering roles with off-the-shelf tools versus maintaining specialized innovation paths. Examine the implementation of retrieval-augmented generation (RAG) for knowledge-intensive tasks, questioning its longevity as a methodology. Gain insights into the safe and responsible development of language model (LLM)-powered tools while understanding the distinct challenges faced by companies with existing ML teams compared to those without such capabilities.
