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Jingyuleo Jingyu Liu Github

Jingyuleo Jingyu Liu Github
Jingyuleo Jingyu Liu Github

Jingyuleo Jingyu Liu Github Contact github support about this user’s behavior. learn more about reporting abuse. report abuse more. During the master’s, i took a gap year at meta ai working as an ai resident on llms and 3d computer vision. before the master’s, i spent a year working on building search engines at bytedance as a mle. i graduated from nyu with honors in cs and was awarded with prize for outstanding performance in cs.

Jingyu Liu Head Of Engineering Hero At Need The Org
Jingyu Liu Head Of Engineering Hero At Need The Org

Jingyu Liu Head Of Engineering Hero At Need The Org An illustration of our human agent co generation paradigm. the bidirectional context loop shows how agents and humans mutually steer the task. the agent decomposes a high level goal into a concrete interface scaffold, while the user’s direct manipulations on that interface provide implicit context that guides the agent’s next step, enabling a fluid collaboration. Jingyu liu university of chicago verified email at uchicago.edu homepage llms deep learning natural language processing. Ubc | u of t . liu jingyu has 8 repositories available. follow their code on github. Jingyuliumath has 6 repositories available. follow their code on github.

Clim Land Team
Clim Land Team

Clim Land Team Ubc | u of t . liu jingyu has 8 repositories available. follow their code on github. Jingyuliumath has 6 repositories available. follow their code on github. First year cs phd at uchicago. jingyu6 has 13 repositories available. follow their code on github. Cs phd at uchicago. jingyu6 has 14 repositories available. follow their code on github. My research field is quantum information and scientific computing giggleliu. Explored grafting low rank mlps and sliding window attention (swa) to pretrained llama 70b and 405b models to reduce inference flops. engineered pretraining frameworks to support tensor parallelism and continuous batching during training. developed comprehensive frameworks for model evaluation.

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