OpenAI’s Generative Pre-Trained Transformer (GPT) architecture has created coherent essays, images, and code. Now it generates mathematical proofs as well.
The world’s most sophisticated language model won’t replace your doctor anytime soon. Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.
The world’s most sophisticated language model won’t replace your doctor anytime soon. Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.
Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.
Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.
As transformer networks move to the fore in applications from language to vision, the time it takes them to crunch longer sequences becomes a more pressing issue. A new method lightens the computational load using sparse attention.
As transformer networks move to the fore in applications from language to vision, the time it takes them to crunch longer sequences becomes a more pressing issue. A new method lightens the computational load using sparse attention.
Two years after it pointed a new direction for language models, Bert still hovers near the top of several natural language processing leaderboards. A new study considers whether Bert simply excels at tracking word order or or learns something closer to common sense.
An open source library could spawn trillion-parameter neural networks and help small-time developers build big-league models. Microsoft upgraded DeepSpeed, a library that accelerates the PyTorch deep learning framework.
An open source library could spawn trillion-parameter neural networks and help small-time developers build big-league models. Microsoft upgraded DeepSpeed, a library that accelerates the PyTorch deep learning framework.
Two years after it pointed a new direction for language models, Bert still hovers near the top of several natural language processing leaderboards. A new study considers whether Bert simply excels at tracking word order or or learns something closer to common sense.
Transformer networks are gaining popularity as a high-accuracy alternative to recurrent neural networks. But they can run slowly when they’re applied to long sequences.
Transformer networks are gaining popularity as a high-accuracy alternative to recurrent neural networks. But they can run slowly when they’re applied to long sequences.
Language models like Bert, Ernie, and Elmo have achieved spectacular results based on clever pre-training approaches. New research applies some of those Sesame Street lessons into image processing.
Language models like Bert, Ernie, and Elmo have achieved spectacular results based on clever pre-training approaches. New research applies some of those Sesame Street lessons into image processing.
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