Building Production-Grade RAG at Scale
The Data Exchange with Ben Lorica
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Exploring the Frontiers of Model Fine-Tuning and Future Developments
This chapter explores the nuances of supervised and reinforcement fine-tuning, emphasizing advancements in user-friendly data uploads for model training. It also discusses the importance of expert feedback, open-source initiatives, and current model limitations, while speculating on future improvements in foundational model capabilities.
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