We love hearing these stories about our amazing alumni! :D

We just released a new version of fastai that's now compatible with the latest PyTorch 2.2.
h/t Benjamin Warner

Either: 'pip install -U fastai' or 'conda install -c fastai fastai' to upgrade.

My fast.ai cofounder Rachel Thomas has been studying immunology for the last couple of years, & she's discovered some fascinating opportunities for AI in immunology.

Her new post summarises recent research on using AI/ML to uncover immune cell networks
fast.ai/posts/2024-01-…

Last year, Hamel Husain (re) taught me a super power 🙏

“If you sincerely spend 3 hours everyday learning a new topic

In 6 months, you’ll be really far ahead”

This is something we learned in fast.ai that Hamel reminded me when I expressed my imposter scare of LLMs

Jeremy Howard fast.ai Soooo proud to be fast.ai alumni 👨‍🎓 I was stuck in math previously. fast.ai guided me into right direction. Can’t imagine only 2 months after the course, I co-founded startup with Fast.ai Alumni and won $10,000 check 🌻🚀

Second notebook 'Detect Sleep States' Kaggle competition is done 🎃 it contains:
▫️ EDA & visuals of time series data
▫️ sleep representations using spectrograms
▫️ time feature engineering using fast.ai
▫️ Weights & Biases tracking for datasets and visuals

📍Link to…

I am so excited to see Jeremy Howard as a guest on Latent Space Podcast. The fast.ai book and course helped to get me started with deep learning and also brought together an excellent community of fellow learners.

New fastai release with a handful of items+fixes from yours truly. Including adding support for bfloat16 mixed precision training.

Release has fixes from multiple new & returning contributors.

Minimum versions of Python & PyTorch were increased to 3.8 and 1.10, respectively.

Wtf this magic by fast.ai . Very convenience.

Anki cards for fast.ai v4 course are here! (all 8 lectures)

github.com/radekosmulski/…

These are based off questions from aiquizzes.com

As a co-leader of the Deep Learners Study Group on the fast.ai Discord, I'm excited to announce our group is now free format!

Join us every Saturday at 12:00 UTC, regardless whether you're doing fastai Course Part 1 or 2, and share your progress!

discord.gg/GTRaG4tb6c?eve…

Good list - but another, often better way is to 'consumption drive' your learning so you don't give up halfway.

Figure out the problem you want to solve, and then learn what you need to learn to solve it.

I recommend fast.ai by Jeremy Howard

It’s cool to me how many fast.ai alums are working on LLM stuff now. It’s a real testament to how the course didn’t just teach us specific knowledge but also a practical, problem-solving approach to ML rooted in open source (And I’ve been seeing Jeremy Howard in Discord too!)

GPU rich vs poor: Remember DAWNBench? fast.ai blew away the leaderboard using dramatically less compute and less time

GPU abundance can actually become a weakness

fast.ai/posts/2018-04-…

A few months ago as part of Walk with fast.ai, I did a presentation discussing Hugging Face Accelerate. This talked about what the framework is, its layers, and how to utilize it best for your problems.

Today I've made this lecture public: youtu.be/eLWge4UZJnM

AI Safety and the Age of Dislightenment by Jeremy Howard from fast.ai

fast.ai/posts/2023-11-…

Are you feeling overwhelmed by the hype surrounding GPT/Palm/Claude/LLM? Do you want to establish a solid foundation in AI/ML?

I highly recommend starting with the fast.ai course.

If you're a software engineer with no ml background, here's the plan:

Can almost wholly attribute my career switch from medicine/bio -> ML to Jeremy Howard & fast.ai.

The team's dedication to accessible, cutting-edge learning has empowered many (like me!) to venture into new domains.

Many thanks for democratizing knowledge and transforming…

I'm so excited to see part 2 of fast.ai publically released.

Back in 2018 their course made deep learning accessible for me and now it's my main research area.

I can't recommend this course and the work of Jeremy Howard enough!

Our new course, 'From Deep Learning Foundations to Stable Diffusion', is finally done after 8 months of work!!!

With >30 hours of video content (all free, no ads!), you'll learn how to create and train a Stable Diffusion model starting from pure Python 🧵
fast.ai/posts/part2-20…