Tim Dettmers

If you look at how people cook coding agents today, they have an industrial kitchen: large-scale reinforcement learning systems with many components for efficiency spanning hundreds of GPUs, complex repository mixing, and large teams working on all angles

If you are reading this, you probably feel the FOMO. Maybe you have seen the Twitter threads about coding agents completing entire features in minutes. Maybe a colleague mentioned they are "10x more productive" now - or "Influencers" saying AGI is here an

If you are reading this, you probably have strong opinions about AGI, superintelligence, and the future of AI. Maybe you believe we are on the cusp of a transformative breakthrough. Maybe you are skeptical. This blog post is for those who want to think mo

Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to

When I attended NAACL, I wanted to do a little test. I had two pitches for my LLM.int8() paper. One pitch is about how I use advanced quantization methods to achieve no performance degradation transformer inference at scale that makes large models more ac

If you are reading this, then you probably finished the long and arduous journey to grad school. You emerged victoriously, and this success is well-deserved. But which school should you choose? How to make a right choice if all schools look great in their

How to choose an advisor? Is school prestige important? How important are peers? I answer these questions to help you find the right grad school.

I recently had a discussion about creativity with a colleague. We were discussing music and how creative many bands and groups are. At the end of our conversation, my friend told me, half-sarcastic-half-serious, how much more creative the people in the mu