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RAG continues to rise
Practical AI: Machine Learning, Data Science, LLM
Exploring the Trade-offs between RAG and Fine-tuning for AI Models
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This chapter delves into the considerations when choosing between RAG and fine-tuning for specialized fields, analyzing the level of expertise required and their suitability for specific tasks. It also discusses the challenges in utilizing different models, shifts in enterprise mindset towards fine-tuning, and the maturity levels of organizations in adopting multi-model capabilities for AI.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode