AutoAdapt demo
Explore how AutoAdapt streamlines machine learning pipeline setup and parameter optimization in this comprehensive demo. AutoAdapt performs efficient parameter sweeps and recommends parameter-efficient fine-tuning methods like LoRa, ensuring optimal results with minimal extra time and cost. Perfect for data scientists, ML engineers, and anyone seeking to automate and optimize their machine learning workflows. Gain actionable insights and make informed decisions before finalizing your model.
接下来观看
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Session: Compute & Trust (Systems)
- Ashish Panwar,
- Aditya Desai,
- Abhilash Jindal
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Multimodal & Embodied Intelligence (Pt 1), Panel on Multimodal AI: Progress, Pitfalls, Possibilities
- Madhava Krishna,
- Sriram Ganapathy,
- Somak Aditya
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Session on Compute & Trust (Security)
- Krishna Pillutla,
- Danish Pruthi
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Session on Reasoning
- Hongxiang Fan,
- Nagarajan Natarajan
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Session on Retrieval
- Lokesh Nagalapatti,
- Soumen Chakrabarti
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