Accelerating the search for antimicrobial peptides with Google Antigravity
deepmind.google·2h ago
Cloud & Infrastructure
The New Stack·6h ago·5 min read
Agentic AI doesn’t have a model problem. It has a retrieval problem.
TL;DR
GPT-4.1 demonstrated a high accuracy of 93.49% in answering questions when provided with relevant documents, highlighting a retrieval issue rather than a model problem in agentic AI.
✦ Why It Matters
Focus on enhancing information retrieval methods to improve AI performance in your projects today.
Key Takeaways
- Assess retrieval methods before changing AI models.
- Implement advanced retrieval techniques to improve accuracy.
- Ensure agents can access and rank relevant information effectively.
- Monitor the impact of retrieval quality on overall system performance.
How It Works
Agentic AI systems can decompose tasks into multiple searches, running them in parallel to gather necessary information. This approach allows agents to build context and refine their understanding as they retrieve evidence, but it also increases the stakes for retrieval quality, as each search influences subsequent tasks.