Delimiters in Prompt Engineering
Learn how to use delimiters in prompt engineering to improve AI responses. This blog explains delimiter types, best practices, and practical examples for developers working with large language models
prompt tuning
DSPy in Production
This is a guest post by Ganaraj, based on the talk he gave at the LLMs in Prod Meetup in Bangalore.
AI has fundamentally changed the way we build apps. I transitioned from being a coder to a creative prompter. This shift from coding to creative prompting might seem like
The Power of Scale for Parameter-Efficient Prompt Tuning - Summary
The paper explores prompt tuning, a mechanism for learning soft prompts to condition frozen language models for specific downstream tasks. The approach outperforms GPT-3's few-shot learning and becomes more competitive with scale. Prompt tuning confers benefits in robustness to domain transfer and