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Fine-tuning vs RAG

Practical AI

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Exploring LLMs in Business

This chapter provides insights from a survey on the implementation and challenges of large language models (LLMs) in businesses, discussing use cases such as data enrichment and the hurdles of cost and ROI. The speakers share their experiences and frustrations with LLMs, emphasizing the need for diverse perspectives in evaluating AI technologies. Additionally, the chapter highlights the differences in adoption approaches between startups and larger organizations, as well as the broader implications of these trends in the evolving AI landscape.

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