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Learn about scaffolding, a new framework in TensorRT-LLM designed to support various inference-time compute methods including majority vote, best of N, and Monte Carlo Tree Search (MCTS), in this 56-minute technical presentation from Nvidia experts. Discover how to implement custom inference-time compute methods using the scaffolding framework and understand how it achieves an optimal balance between usability, modularity, and high performance. Explore community contributions and gain insights into extending TensorRT-LLM's capabilities for advanced inference-time computation scenarios.
Syllabus
Introduction of inference time compute support in TensorRT-LLM
Taught by
NVIDIA Developer