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Finetuning LLMs

Posted Oct 26, 2023 | Views 557
# Fine-tuning LLMs
# Building Production
# PowerML, Inc
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SPEAKERS
Greg Diamos
Greg Diamos
Greg Diamos
Ninja @ PowerML, Inc

Greg's mission is to build complex systems that the world can use.

He had previously co-founded MLPerf & MLCommons, which have now set the industry standards for high performance machine learning systems.

He had led LLM scaling at Baidu, where his team published the first paper on scaling laws. He deployed one of the first LLMs into production to 100M people in 2009 in the Baidu search engine, now used by billions.

Greg was also an architect — or CUDA Ninja — at NVIDIA in the very early days of deep learning (2008), where he contributed key inventions to the Volta GPU and worked on the first AI project there.

He holds a PhD from the Georgia Institute of Technology in high-performance computing.

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Greg's mission is to build complex systems that the world can use.

He had previously co-founded MLPerf & MLCommons, which have now set the industry standards for high performance machine learning systems.

He had led LLM scaling at Baidu, where his team published the first paper on scaling laws. He deployed one of the first LLMs into production to 100M people in 2009 in the Baidu search engine, now used by billions.

Greg was also an architect — or CUDA Ninja — at NVIDIA in the very early days of deep learning (2008), where he contributed key inventions to the Volta GPU and worked on the first AI project there.

He holds a PhD from the Georgia Institute of Technology in high-performance computing.

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Adam Becker
Adam Becker
Adam Becker
IRL @ MLOps Community

I'm a tech entrepreneur and I spent the last decade founding companies that drive societal change.

I am now building Deep Matter, a startup still in stealth mode...

I was most recently building Telepath, the world's most developer-friendly machine learning platform. Throughout my previous projects, I had learned that building machine learning powered applications is hard - especially hard when you don't have a background in data science. I believe that this is choking innovation, especially in industries that can't support large data teams.

For example, I previously co-founded Call Time AI, where we used Artificial Intelligence to assemble and study the largest database of political contributions. The company powered progressive campaigns from school board to the Presidency. As of October, 2020, we helped Democrats raise tens of millions of dollars. In April of 2021, we sold Call Time to Political Data Inc.. Our success, in large part, is due to our ability to productionize machine learning.

I believe that knowledge is unbounded, and that everything that is not forbidden by laws of nature is achievable, given the right knowledge. This holds immense promise for the future of intelligence and therefore for the future of well-being. I believe that the process of mining knowledge should be done honestly and responsibly, and that wielding it should be done with care. I co-founded Telepath to give more tools to more people to access more knowledge.

I'm fascinated by the relationship between technology, science and history. I graduated from UC Berkeley with degrees in Astrophysics and Classics and have published several papers on those topics. I was previously a researcher at the Getty Villa where I wrote about Ancient Greek math and at the Weizmann Institute, where I researched supernovae.

I currently live in New York City. I enjoy advising startups, thinking about how they can make for an excellent vehicle for addressing the Israeli-Palestinian conflict, and hearing from random folks who stumble on my LinkedIn profile. Reach out, friend!

+ Read More

I'm a tech entrepreneur and I spent the last decade founding companies that drive societal change.

I am now building Deep Matter, a startup still in stealth mode...

I was most recently building Telepath, the world's most developer-friendly machine learning platform. Throughout my previous projects, I had learned that building machine learning powered applications is hard - especially hard when you don't have a background in data science. I believe that this is choking innovation, especially in industries that can't support large data teams.

For example, I previously co-founded Call Time AI, where we used Artificial Intelligence to assemble and study the largest database of political contributions. The company powered progressive campaigns from school board to the Presidency. As of October, 2020, we helped Democrats raise tens of millions of dollars. In April of 2021, we sold Call Time to Political Data Inc.. Our success, in large part, is due to our ability to productionize machine learning.

I believe that knowledge is unbounded, and that everything that is not forbidden by laws of nature is achievable, given the right knowledge. This holds immense promise for the future of intelligence and therefore for the future of well-being. I believe that the process of mining knowledge should be done honestly and responsibly, and that wielding it should be done with care. I co-founded Telepath to give more tools to more people to access more knowledge.

I'm fascinated by the relationship between technology, science and history. I graduated from UC Berkeley with degrees in Astrophysics and Classics and have published several papers on those topics. I was previously a researcher at the Getty Villa where I wrote about Ancient Greek math and at the Weizmann Institute, where I researched supernovae.

I currently live in New York City. I enjoy advising startups, thinking about how they can make for an excellent vehicle for addressing the Israeli-Palestinian conflict, and hearing from random folks who stumble on my LinkedIn profile. Reach out, friend!

+ Read More
SUMMARY

An opinionated view of how to build production LLMs.

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