5 items tagged “jeremyhoward”
A Hackers’ Guide to Language Models. Jeremy Howard’s new 1.5 hour YouTube introduction to language models looks like a really useful place to catch up if you’re an experienced Python programmer looking to start experimenting with LLMs. He covers what they are and how they work, then shows how to build against the OpenAI API, build a Code Interpreter clone using OpenAI functions, run models from Hugging Face on your own machine (with NVIDIA cards or on a Mac) and finishes with a demo of fine-tuning a Llama 2 model to perform text-to-SQL using an open dataset. # 25th September 2023, 12:24 am
Mojo may be the biggest programming advance in decades (via) Jeremy Howard makes a very convincing argument for why the new programming language Mojo is a big deal.
Mojo is a superset of Python designed by a team lead by Chris Lattner, who previously created LLVM, Clang and and Swift.
Existing Python code should work unmodified, but it also adds features that enable performant low-level programming—like “fn” for creating typed, compiled functions and “struct” for memory-optimized alternatives to classes.
It’s worth watching Jeremy’s video where he uses these features to get more than a 2000x speed up implementing matrix multiplication, while still keeping the code readable and easy to follow.
Mojo isn’t available yet outside of a playground preview environment, but it does look like an intriguing new project. # 4th May 2023, 4:41 am
From Deep Learning Foundations to Stable Diffusion. Brand new free online video course from Jeremy Howard: 30 hours of content, covering everything you need to know to implement the Stable Diffusion image generation algorithm from scratch. I previewed parts of this course back in December and it was fascinating: this field is moving so fast that some of the lectures covered papers that had been released just a few days before. # 5th April 2023, 1:13 am
Your own hosted blog, the easy, free, open way (even if you’re not a computer expert) (via) Jeremy Howard and the fast.ai team have released fast_template—a GitHub repository designed to be used as a template to create new repositories with a complete Jekyll blog configured for use with GitHub pages. GitHub’s official document recommends you install Ruby on your machine to do this, but Jeremy points out that with the right repository setup you can run a blog entirely by editing files through the GitHub web interface. # 17th January 2020, 1:12 am
This weekend was the 9th annual Science Hack Day San Francisco, which was also the 100th Science Hack Day held worldwide.[... 1174 words]