If previous neural nets are special-purpose computers designed for a specific task, GPT is a general-purpose computer, reconfigurable at run-time to run natural language programs. Programs are given in prompts (a kind of inception). GPT runs the program by completing the document
MACHINE LEARNING
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Transformer: The Critical Unlock Technology for General-Purpose AI
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So the first critical "unlock technology" is the Transformer, a neural net architecture powerful enough to become a general-purpose computer. I've written more about this here: 1) https://
x.com/karpathy/statu
s/1582807367988654081
… and 2) -
Transformers’ In-Context Learning: Emergent Ability at Scale
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The non-obvious crux of the shift is an empirical finding, emergent only at scale, and well-articulated in the GPT-3 paper (
https://
arxiv.org/abs/2005.14165). Basically, Transformers demonstrate the ability of "in-context" learning. At run-time, in the activations. No weight updates. -
Neural Language Models: 20 Years of Autoregressive Architecture Evolution
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E.g. ~20 years ago Bengio et al 2003 (pdf: https://
jmlr.org/papers/volume3
/bengio03a/bengio03a.pdf
…) trained a neural language model. The state of the art GPT+friends of today are the exact same (autoregressive) model, except the neural net architecture is upgraded from an MLP to a Transformer. -
Neural Language Models: From Overlooked Niche to AI Breakthrough
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An interesting historical note is that neural language models have actually been around for a very long time but noone really cared anywhere near today's extent. LMs were thought of as specific applications, not as mainline research unlocking new general AI paths and capabilities
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Earth as Evolution’s Data Center with Biological Processing Units
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The Earth is evolution's data center, and it has trillions of BPUs (biological processing units).
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RAPIDS Platform Accelerates Data Science and AI Efficiency
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Would you like to increase efficiency, streamline development, & achieve more cost-effective data operations in your #AI solution? Join 12/8 and learn how the free @RAPIDSai platform for accelerated data science can help. https://
nvda.ws/3tXGYip #NVIDIAInception #Startups -
Important Research Beyond Simple Model Scaling
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This blog post explains an important research that does not involve more scaling
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AlphaZero Internal Representations Analyzed with Chess Champion
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It was a real honour to closely collaborate with ex-World Chess Champion Vladimir Kramnik on this work, which I think is one of the most thorough analyses yet of the representations and knowledge a complex neural network system like #AlphaZero builds up. Published in PNAS today.
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Argonne’s GPT Model Wins Gordon Bell Prize for COVID Research
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In partnership with @Argonne
, we’ve been awarded the 2022 Gordon Bell Special Prize for HPC Based COVID-19 Research! We trained ANL’s GPT-style models on full Covid-19 genome, holding the entire sequence length (10240 tokens) on a single device. Read more: https://
hubs.li/Q01sCD600