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NovaSky
@NovaSkyAI
Building SkyRL at @BerkeleySky Join the Slack community: join.slack.com/t/skyrl/shared…
Berkeley, California
github.com/NovaSky-AI/Sky…
Joined January 2025
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    NovaSky
    @NovaSkyAI
    Apr 24
    Check out VLM training in SkyRL! SFT / multi-turn RL, LoRA / full-finetuning, tinker-compatible as well!
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    Nithin Chalapathi
    @nithinch10
    Apr 24
    SkyRL now supports end-to-end vision-language post-training, from SFT to agentic RL, and adds vision model support to SkyRL’s Tinker interface! Existing multimodal cookbooks, e.g. VLM classification, work out of the box:
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    NovaSky
    @NovaSkyAI
    Mar 22
    Great work from the @OpenHandsDev community and CMU! Open source SOTA on code localization via RL. Happy to see the beautiful reward curves trained with SkyRL!
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    Aditya Soni
    @Aditya_Soni_8
    Mar 20
    Can we train code agents to search relevant locations in a codebase only using a terminal? Introducing CodeScout: an effective RL recipe for code search 🚀 🏆 Outperforms 18x larger OSS LLMs 🔥 Comparable to proprietary LLMs 📈 SoTA on SWE-Bench Verified, Pro, & Lite 🧵 [1/N]
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    NovaSky
    @NovaSkyAI
    Feb 26
    We’ve been consistently surprised lately by how capable frontier models are at handling complex kernel implementation and system optimization. Check out this work as a step toward automating AI infrastructure building!
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    Shiyi Cao
    @shiyi_c98
    Feb 26
    Introducing our new work K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model — a new paradigm for automated GPU kernel generation, achieving SoTA results. 🔍 Big insight: Traditional methods treat LLMs as stochastic code generators inside heuristic loops — but
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    NovaSky
    @NovaSkyAI
    Feb 19
    Excited to see SkyRL being used by systems research to study how agentic RL workload can be optimized!! github.com/ThunderAgent-o…
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    Hao Kang
    @GT_HaoKang
    Feb 17
    🔥Modifying 2 lines of code and get your agentic serving/rollout up to 3.9x faster losslessly! ⚡️Say hello to ThunderAgent, a fast, simple, and program-aware agentic Inference System. 🥇 We propose a program abstraction to schedule all GPU and CPU resources, the first