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September 18-19, 2024
San Francisco, California
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Fine Tuning Mini-Summit clear filter
Wednesday, September 18
 

4:00pm PDT

Welcome to the PyTorch Ecosystem for LLM Fine-tuning Mini Summit - Kartikay Khandelwal, Meta
Wednesday September 18, 2024 4:00pm - 4:05pm PDT
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
avatar for Kartikay Khandelwal

Kartikay Khandelwal

Software Engineer, PyTorch, Meta
Kartikay Khandelwal is a software engineer in the PyTorch and AI Infra team at Meta where he leads the development of the PyTorch ecosystem for Generative AI, including open-source libraries like torchtune for LLM fine-tuning and torchchat for LLM inference. Prior to PyTorch, he worked... Read More →
Wednesday September 18, 2024 4:00pm - 4:05pm PDT
Festival Pavilion - Breakout Room A

4:05pm PDT

The State of the Llama Ecosystem - Joe Spisak, Meta
Wednesday September 18, 2024 4:05pm - 4:15pm PDT
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
JS

Joe Spisak

Product Director, Meta Inc.
Joe Spisak is Product Director and Head of Open Source in Meta’s Generative AI organization. A veteran of the AI space with over 10 years experience, Joe led product teams at Meta/Facebook, Google and Amazon where he focused on open source AI, open science and building developer... Read More →
Wednesday September 18, 2024 4:05pm - 4:15pm PDT
Festival Pavilion - Breakout Room A

4:15pm PDT

The Challenges of Building an Opinionated Open Source LLM Framework - Wing Lian, Axolotl AI
Wednesday September 18, 2024 4:15pm - 4:25pm PDT
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
WL

Wing Lian

Maintainer, Axolotl AI
Wing is the maintainer of Axolotl, focusing on improving the developer experience for finetuning.
Wednesday September 18, 2024 4:15pm - 4:25pm PDT
Festival Pavilion - Breakout Room A

4:25pm PDT

Hacks to Make LLM Training Faster - Daniel Han, Unsloth AI
Wednesday September 18, 2024 4:25pm - 4:35pm PDT
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
avatar for Daniel Han

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

4:35pm PDT

torchtune: Easy and Accessible Finetuning in Native PyTorch - Evan Smothers, Meta
Wednesday September 18, 2024 4:35pm - 4:45pm PDT
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
avatar for Evan Smothers

Evan Smothers

Software Engineer, Meta
Evan is a software engineer on the PyTorch Domains team at Meta. He currently works on torchtune, a PyTorch library for memory-efficient fine-tuning of large language models. Prior to joining Meta, Evan worked as a data scientist at Uber and received his Ph.D. in mathematics from... Read More →
Wednesday September 18, 2024 4:35pm - 4:45pm PDT
Festival Pavilion - Breakout Room A

4:45pm PDT

Panel Discussion - Tim Dettmers, AI2/Carnegie Melon; Hailey Schoelkopf, EleutherAI; Aakanksha Chowdhery, Meta; Alexis Conneau, OpenAI; Moderated by Kartikay Khandelwal, Meta
Wednesday September 18, 2024 4:45pm - 5:30pm PDT
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)
Moderators
avatar for Kartikay Khandelwal

Kartikay Khandelwal

Software Engineer, PyTorch, Meta
Kartikay Khandelwal is a software engineer in the PyTorch and AI Infra team at Meta where he leads the development of the PyTorch ecosystem for Generative AI, including open-source libraries like torchtune for LLM fine-tuning and torchchat for LLM inference. Prior to PyTorch, he worked... Read More →
Speakers
TD

Tim Dettmers

Research Scientist & Assistant Professor, Ai2 & Carnegie Mellon University
Tim Dettmers’s is a research scientist at AI2 and an incoming assistant professor at CMU. His research focuses on making foundation models, such as ChatGPT, accessible to researchers and practitioners by reducing their resource requirements. This involves developing novel compression... Read More →
HS

Hailey Schoelkopf

EleutherAI
Hailey Schoelkopf is a Research Scientist at EleutherAI, a non-profit research lab focused on enabling open science on large-scale AI models. Her research has focused on building reproducible infrastructure for empowering open science on large-scale models, with core interests in... Read More →
AC

Aakanksha Chowdhery

Research Scientist, Meta
Aakanksha has been a lead researcher in pre-training large language models, such as PaLM and Gemini. She led the 540B PaLM model at Google and was a core member of the Gemini, Pathways, PaLM-E and MedPaLM projects. Before Google, she led interdisciplinary teams at Microsoft Research... Read More →
AC

Alexis Conneau

Member of Technical Staff, OpenAI
Alexis Conneau is a Member of Technical Staff at OpenAI in the Multimodal Frontiers team, where he has led the research for Audio+Text language modeling and the next-generation GPT4-o VoiceMode ("Her"). Prior to that, he was a research scientist at Facebook AI Research since 2015... Read More →
Wednesday September 18, 2024 4:45pm - 5:30pm PDT
Festival Pavilion - Breakout Room A
 
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