manish Choudhary @manishk_ml
Documenting my ml journey Joined June 2025-
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Two years, not two months. The visible progress you're hoping for usually comes slower than you'd like. Even with consistent effort it can take a long time before progress feels significant. It might be a year of writing and editing before the book really starts to come…
Quick success can be the worst teacher of your life. It gives an illusion of your strategy is working and stop you from improving.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Watch @elonmusk and @Boca_Bill_R discuss SpaceX’s mission
Our latest book on the mathematical principles of deep learning and intelligence has been released publicly at: ma-lab-berkeley.github.io/deep-represent… It also comes with a customized Chatbot that helps readers study and a Chinese version translated mainly by AI. This is an open-source project.
Our plan is measured in centuries. Our progress is measured in weeks.
@rohanpaul_ai It is a very good article and I am going to recommend it to my students as well. GPU Glossary is also worth reading: modal.com/gpu-glossary/d…
Andrew Ng (@AndrewYNg) on how startups can build faster with AI. At AI Startup School in San Francisco. 00:31 - The Importance of Speed in Startups 01:13 - Opportunities in the AI Stack 02:06 - The Rise of Agent AI 04:52 - Concrete Ideas for Faster Execution 08:56 - Rapid…
Top AI Papers of The Week (August 18-24): - ComputerRL - Beyond GPT-5 - Chain-of-Agents - Parallel Text Generation - Retrieval-Augmented Reasoning - Has GPT-5 Achieved Spatial Intelligence? - Open Foundations for Compute-Use Agents Read on for more:
It is instinctually that way, which is why most of us feel the pull of it-- in other words, we instinctively want to get better at things and have created and evolved technology to help us. History has shown that all species will either go extinct or evolve into other species,…
procrastination feels like a form of background batch processing.. at least that's how i justify it
# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are…
@Kartikayb77 I read this book and then I was surprised that I still understood so little of the kernels that started to appear as llm.c contributions, beating mine. It's a pretty good 101 intro. Learning CUDA is like that horse meme, all the learning resources you can find on the left, then…
A major mistake I made in my undergrad is that I focused way too much on mathematical lens of computing - computability, decidability, asymptotic complexity etc. And too little on physical lens - energy/heat of state change, data locality, parallelism, computer architecture. The…
How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others
most common neural net mistakes: 1) you didn't try to overfit a single batch first. 2) you forgot to toggle train/eval mode for the net. 3) you forgot to .zero_grad() (in pytorch) before .backward(). 4) you passed softmaxed outputs to a loss that expects raw logits. ; others? :)
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