ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight Budget

1. 1Generate reasoning-intensive queries using automated methods
2. 2Use ORBIT to create short verifiable answers for the queries
3. 3Integrate the generated dataset into search agent training pipelines
4. 4Evaluate the performance of search agents using the ORBIT dataset

Researchers and developers working on search agents and language models can benefit from ORBIT, as it provides a cost-effective solution for generating training datasets

💡 ORBIT provides a cost-effective solution for generating training datasets for search agents, reducing the need for expensive human annotation

🚀 ORBIT: Scalable data generation for search agents on a tight budget! 💡