How OpenAI Uses Embedding
8 engineering articles about Embedding from OpenAI's engineering team
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PVH Corp. , the parent company of Calvin Klein and Tommy Hilfiger, announced its adoption of ChatGPT Enterprise to transform its global fashion operations.
OpenAI
3 min read
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The article introduces gpt-oss, two state-of-the-art open-weight language models, gpt-oss-120b and gpt-oss-20b, which excel in reasoning tasks and are optimized for deployment on consumer hardware.
The article discusses the training and capabilities of Sora, a video generation model that utilizes text-conditional diffusion techniques to create high-fidelity videos.
Tim Brooks
11 min read
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The article discusses empirical scaling laws for neural language models, focusing on how performance relates to model size, dataset size, and compute resources.
Jared Kaplan
1 min read
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The article discusses the phenomenon of deep double descent in deep learning models, particularly in CNNs, ResNets, and transformers.
Preetum Nakkiran
4 min read
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The article introduces GamePad, a system designed to explore the application of machine learning methods to theorem proving within the Coq proof assistant.
Daniel Huang
1 min read
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The article discusses the Neural GPU, a model capable of learning algorithms such as multi-digit binary addition and multiplication, and explores its extensions and limitations.
Eric Price
2 min read
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The article discusses weight normalization, a reparameterization technique for neural networks that separates the length of weight vectors from their direction.
Tim Salimans
2 min read
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