The Building Blocks of Agentic Systems with Harrison Chase - #698
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Dynamic Few-Shot Prompting
Dynamic few-shot prompting enhances models by allowing for intelligent selection of prompts, with various methods of selection available. While random selection offers some merit, more strategic approaches are preferable. The integration of memory concepts in tools like Langchain further supports this technique, which remains underutilized despite its potential. As the industry evolves from prototypes to production, the relevance and importance of this method will increase. However, challenges related to ease of use persist, highlighting the need for improved tooling to manage these processes effectively.
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