Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39
Data Brew by Databricks
Leveraging Random Sampling for Model Enhancement
This chapter discusses how including diverse examples in prompts can improve model responses without changing the underlying parameters. The speaker highlights the importance of experimentation and random sampling in optimizing offline applications, such as question generation.
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