NovaSky
@NovaSkyAI
Next-generation Open Vision and AI @BerkeleySky Contact: [email protected]
✨Release: We upgraded SkyRL into a highly-modular, performant RL framework for training LLMs. We prioritized modularity—easily prototype new algorithms, environments, and training logic with minimal overhead. 🧵👇 Blog: novasky-ai.notion.site/skyrl-v01 Code: github.com/NovaSky-AI/Sky…
🔥 At ICML 2025, we’re delighted to introduce BFCL V4 Agentic. As function-calling (also called tool-calling) forms the bed-rock of Agentic systems, BFCL V4 Agentic benchmark focuses on tool-calling in real-world agentic settings — including: 🔍 Web search with multi-hop…
The SkyRL roadmap is live! Our focus is on building the easiest-to-use high-performance RL framework for agents. We'd love your ideas, feedback, or code to guide the project: github.com/NovaSky-AI/Sky…
Excited to share SkyRL-SQL, a simple yet effective multi-turn RL pipeline for training LLMs to generate and refine SQL through real database feedback. Rather than one-shot generation, models explore unfamiliar schemas, issue trial queries, reflect on results, and iteratively…
1/N Introducing SkyRL-SQL, a simple, data-efficient RL pipeline for Text-to-SQL that trains LLMs to interactively probe, refine, and verify SQL queries with a real database. 🚀 Early Result: trained on just ~600 samples, SkyRL-SQL-7B outperforms GPT-4o, o4-mini, and SFT model…