24 model-checking positions at Stanford University

  • Stanford University | Redwood City, California | United States | 2 days ago

    , hallucination/bias checks, A/B tests, golden sets). Parameter‑efficient fine‑tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open‑weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama

  • Stanford University | Redwood City, California | United States | 2 days ago

    (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter‑efficient fine‑tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open‑weight models (Llama/Mistral/Qwen) with vLLM

  • Stanford University | Stanford, California | United States | about 17 hours ago

    investments.  You will learn about a broad variety of investment strategies and asset classes.  You will gain financial modeling skills, improve your written communication, and learn due diligence techniques

  • Stanford University | California City, California | United States | 2 days ago

    the agents themselves—integrating powerful tools, fine-tuning large models, exploring multi-agent architectures, and developing environments with realistic rewards that enable reinforcement learning to improve

  • Stanford University | Stanford, California | United States | 2 days ago

    financial modeling and business intelligence applications to produce analysis and presentations. ·         High degree of accuracy, strong attention to detail, and efficient execution of responsibilities

  • Stanford University | Stanford, California | United States | 18 days ago

    , hallucination/bias checks, A/B tests, golden sets). Parameter-efficient fine-tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open-weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama

  • Stanford University | California City, California | United States | about 17 hours ago

    analysis and make recommendations regarding the direction of the programs. Monitor feedback (emails, meetings, program surveys)across offerings and propose changes to improve structure, delivery models, and

  • Stanford University | Stanford, California | United States | 6 days ago

    the agents themselves--integrating powerful tools, fine-tuning large models, exploring multi-agent architectures, and developing environments with realistic rewards that enable reinforcement learning

  • Stanford University | Stanford, California | United States | 18 days ago

    (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter-efficient fine-tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open-weight models (Llama/Mistral/Qwen) with vLLM

  • Stanford University | Stanford, California | United States | 24 days ago

    The Department of Ophthalmology's Enigma project is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual

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