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closss/README.md
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clos — ai researcher

github   scholar   x   email


◇  research

I build and align multimodal foundation models — teaching systems to perceive across vision, language, and audio, then sharpening their behavior through post-training and reinforcement learning, and serving them fast.

  • VLM — visual perception & grounded reasoning

  • Post-training — SFT, preference alignment, distillation

  • RL — RLHF / RLVR, reward modeling, agentic policies

  • KV cache — efficient long-context inference & serving

  • TTS — expressive, low-latency speech synthesis

  • 3D — spatial reasoning & generation

◆  currently

class Researcher:
    name    = "clos"
    role    = "ai researcher"
    focus   = ["vlm", "post-training", "rl"]
    systems = ["kv-cache", "tts", "3d"]

    def philosophy(self):
        return "less noise, more signal"

Chasing the smallest model that still understands.


◈  toolbox

python pytorch hugging face cuda
vllm deepspeed triton jax ray


github stats    top languages


streak


— less noise, more signal —

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