EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·27d ago·5 min read
Jev: New frontier model 40-400x cheaper and 20-200x faster
TL;DR
TypeSafe AI has launched Jev, a new frontier model that is 40-400 times cheaper and 20-200 times faster than existing language models, optimized for structured decision-making.
✦ Why It Matters
Explore early access to Jev for automating structured decision-making in your projects today.
Key Takeaways
- Explore Jev for structured decision-making in your applications.
- Leverage Jev's speed for real-time AI workflows.
- Utilize type-safe outputs to reduce errors in automation.
- Provide feedback to TypeSafe to help improve Jev's capabilities.
How It Works
Jev uses a unique architecture and training method called Reinforcement Learning for Calibrated Decisions (RLCD) to produce type-safe structured outputs. It generates all outputs in parallel, significantly enhancing efficiency compared to traditional sequential models.
This design allows Jev to provide calibrated probabilities with each decision, ensuring reliability and reducing the risk of errors.