Name: Hacks to Make LLM Training Faster - Daniel Han, Unsloth AI
Start: 2024-09-18T16:25:00-0700
End: 2024-09-18T16:35:00-0700

September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Wednesday September 18, 2024 4:25pm - 4:35pm PDT

Festival Pavilion - Breakout Room A

As open-source LLMs have become more capable, a substantial ecosystem has developed around the fine-tuning of these models. A thriving community of researchers, developers, practitioners and hobbyists has emerged which focuses on topics ranging from memory efficiency, parameter-efficient fine-tuning and quantization to performance at scale and reproducible evaluations. The goal of this mini-summit is to bring this community together to discuss ideas, share knowledge and build connections.

The agenda features a keynote from Joe Spisak on the state of the Llama ecosystem followed by invited talks from the founders of Axolotl, Unsloth and torchtune. We conclude the summit with a riveting discussion on what’s next for LLMs, fine-tuning and the PyTorch ecosystem with a fabulous panel of experts - Tim Dettmers (author of bitsandbytes and QLoRA), Hailey Schoelkopf (maintainer of LM Eval Harness at EleutherAI), Aakanksha Chowdhery (Lead author on PaLM and Gemini) and Alexis Conneau (Research Lead at OpenAI)

Speakers

Daniel Han

Cofounder, Unsloth

I'm the algos guy behind Unsloth which makes finetuning 2x faster and use 70% less VRAM! I helped fix 8 bugs in Gemma, 3 bugs in Llama, a few in Mistral and Phi-3 and used to work at NVIDIA on making algos faster on GPUs! Had another OSS package Hyperlearn which was used by NASA... Read More →

Wednesday September 18, 2024 4:25pm - 4:35pm PDT
Festival Pavilion - Breakout Room A

Fine Tuning Mini-Summit

PyTorch Conference 2024

Daniel Han

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