Tim Dettmers
timdettmers.com
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LLM & Generative AI
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Overview
Research Interests Awards & Honors Group Service Google Scholar [email protected] Gates & Hillman Centers, GHC8133 I am an Assistant Professor at Carnegie Mellon University (CMU) and a Research Scientist at the Allen Institute for Artificial Intelligence (Ai2).
News
My Journey Towards Coding Agents: Building SERA
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
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Use Agents or Be Left Behind? A Personal Guide to Automating Your Own Work
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
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Why AGI Will Not Happen
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
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Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning
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
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LLM.int8() and Emergent Features
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
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