EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 14·5 min read
Show HN: AletheionAGI – Grounding enforcement for AI agents
TL;DR
AletheionAGI introduces a memory system for AI agents that ensures claims are supported by authorized evidence, enhancing reliability. It achieved a 93.6% recall rate on support questions, demonstrating its effectiveness.
✦ Why It Matters
Implement AletheionAGI to ensure your AI provides reliable, evidence-backed responses to users.
Key Takeaways
- Integrate AletheionAGI to ensure AI claims are evidence-backed.
- Utilize the feedback ledger to improve retrieval accuracy.
- Test the system with a one-time proof of concept for R$ 99.
- Maintain clear boundaries to prevent unsupported claims from reaching users.
How It Works
AletheionAGI operates by creating a controlled delivery path for AI responses. It combines memory retrieval with policy enforcement to ensure that only authorized evidence supports claims made by the AI.
The system uses models like ASM-CM and BM25 for effective retrieval, while a feedback ledger tracks corrections and prevents contamination of source memory.