fast.ai—Making neural nets uncool again

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What AI can tell us about microscope slides

machine learning
science

A friendly introduction to Foundation Models for Computational Pathology

Feb 3, 2025
Rachel Thomas

A New Chapter for fast.ai: How To Solve It With Code

fast.ai is joining Answer.AI, and we’re announcing a new kind of educational experience, ‘How To Solve It With Code’

Nov 7, 2024
Jeremy Howard

In defense of screen time

education

Pundits say my husband and I are parenting wrong.

Oct 29, 2024
Rachel Thomas

A new old kind of R&D lab

Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs.

Dec 12, 2023
Jeremy Howard

Can LLMs learn from a single example?

technical

We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.

Sep 4, 2023
Jeremy Howard and Jonathan Whitaker

AI and Power: The Ethical Challenges of Automation, Centralization, and Scale

machine learning
ai-in-society

Moving AI ethics beyond explainability and fairness to empowerment and justice

Jul 29, 2023
Rachel Thomas

AI Safety and the Age of Dislightenment

ai-in-society

Model licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways

Jul 10, 2023
Jeremy Howard

Is Avoiding Extinction from AI Really an Urgent Priority?

ai-in-society

The history of technology suggests that the greatest risks come not from the tech, but from the people who control it

May 30, 2023
Seth Lazar, Jeremy Howard, & Arvind Narayanan

Mojo may be the biggest programming language advance in decades

technical

Mojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems.

May 4, 2023
Jeremy Howard

From Deep Learning Foundations to Stable Diffusion

courses

We’ve released our new course with over 30 hours of video content.

Apr 4, 2023
Jeremy Howard

GPT 4 and the Uncharted Territories of Language

ai-in-society

Language is a source of limitation and liberation. GPT 4 pushes this idea to the extreme by giving us access to unlimited language.

Mar 20, 2023
Jeremy Howard

I was an AI researcher. Now, I am an immunology student.

education

Last year, I became captivated by a new topic in a way that I hadn’t felt since I first discovered machine learning

Feb 7, 2023
Rachel Thomas

1st Two Lessons of From Deep Learning Foundations to Stable Diffusion

courses

4 videos from Practical Deep Learning for Coders Part 2, 2022 have been released as a special early preview of the new course.

Oct 19, 2022
Jeremy Howard

Deep Learning Foundations Signup, Open Source Scholarships, & More

courses

Signups are now open for Practical Deep Learning for Coders Part 2, 2022. Scholarships are available for fast.ai community contributors, open source developers, and diversity scholars.

Sep 23, 2022
Jeremy Howard

From Deep Learning Foundations to Stable Diffusion

courses

Practical Deep Learning for Coders part 2, 2022

Sep 16, 2022
Jeremy Howard

My family’s unlikely homeschooling journey

education

Prior to 2020, we never expected to homeschool, and now we have committed to it long-term.

Sep 6, 2022
Rachel Thomas

The Jupyter+git problem is now solved

technical

Previously, using git with Jupyter could create conflicts and break notebooks. With nbdev2, the problem has been totally solved.

Aug 25, 2022
Jeremy Howard

nbdev+Quarto: A new secret weapon for productivity

technical

Our favorite tool for software engineering productivity–nbdev, now re-written with Quarto

Jul 28, 2022
Hamel Husain and Jeremy Howard

Practical Deep Learning for Coders 2022

courses

A complete from-scratch rewrite of fast.ai’s most popular course, that’s been 2 years in the making.

Jul 21, 2022
Jeremy Howard

Masks for COVID: Updating the evidence

health

Notes taken whilst preparing a paper on mask efficacy from Nov to Jan 2022. My previous paper on this was written in April 2020 and published in the Proceedings of the National Academy of Science

Jul 4, 2022
Jeremy Howard

Qualitative humanities research is crucial to AI

ai-in-society

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

Jun 1, 2022
Louisa Bartolo and Rachel Thomas

AI Harms are Societal, Not Just Individual

ai-in-society

In the west, our ideas of harm are largely anchored to an individual being harmed by a particular action at a discrete moment in time. Yet the harms caused by algorithmic systems are often collective and communal.

May 17, 2022
Rachel Thomas and Louisa Bartolo

There’s no such thing as not a math person

advice
education

Many cultural factors, misconceptions, stereotypes, and obstacles turn people off to math.

Mar 15, 2022
Rachel Thomas

7 Great Lightning Talks Related to Data Science Ethics

ai-in-society

Lightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy

Mar 14, 2022
Rachel Thomas
 

Doing Data Science for Social Good, Responsibly

ai-in-society

While data for social good projects can be useful, there are also pitfalls to avoid.

Nov 23, 2021
Rachel Thomas
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