EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·22d ago·5 min read
Prompts Aren't Real
TL;DR
Dan, an engineer, shares insights on building reliable AI agents, emphasizing that prompts are less important than measurement and optimization in ensuring consistent performance.
✦ Why It Matters
Focus on building measurement systems for AI agents instead of relying solely on prompt engineering.
Key Takeaways
- Prioritize measurement and optimization over prompt crafting.
- Use pass^k testing to evaluate agent performance.
- Implement adversarial scenarios to identify weaknesses.
- Develop self-correcting systems for sustainable AI performance.
How It Works
Dan employs a testing methodology called pass^k, which involves running multiple tests to evaluate agent behavior under various scenarios. By generating adversarial scenarios, he can assess how well the agent adheres to desired behaviors and optimize prompts automatically using algorithms.