Accelerating the search for antimicrobial peptides with Google Antigravity
deepmind.google·2h ago
AI Research
arXiv CS.AI·1d ago·5 min read
HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks
TL;DR
HyWe is a novel framework that integrates search and operational capabilities for hybrid web tasks, achieving a 47% success rate on a new benchmark. This approach significantly outperforms existing models by enhancing task completion efficiency.
✦ Why It Matters
Consider integrating HyWe into your web automation projects to enhance task efficiency and success rates.
Key Takeaways
- Explore HyWe for unifying search and operational tasks.
- Utilize HyWeCollector for generating hybrid task trajectories.
- Leverage the 47% success rate in real-world applications.
- Reduce action costs by nearly 50% with HyWe-35B.
How It Works
HyWe operates in two modes: search and operation, allowing explicit switching between them based on task requirements. It uses dedicated prompts to guide each mode and maintains a shared history to enhance learning and task execution.
This design enables the model to build on previous findings, improving overall task performance.