New Release
Summarizing books with human feedback
OpenAI enhances book summarization accuracy through human feedback, promising more reliable insights for readers.
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Introducing Optimum: The Optimization Toolkit for Transformers at Scale
Hugging Face launches Optimum, a toolkit designed to optimize transformer models for efficient training and deployment.
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Developing
Hugging Face and Graphcore partner for IPU-optimized Transformers
Hugging Face teams up with Graphcore to optimize Transformers for enhanced AI model training performance.
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TruthfulQA: Measuring how models mimic human falsehoods
OpenAI introduces TruthfulQA, a benchmark designed to enhance AI models' accuracy by evaluating their handling of human-like falsehoods.
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Helen Toner joins OpenAI’s board of directors
Helen Toner joins OpenAI's board, bringing her AI policy expertise to enhance leadership diversity.
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OpenAI Codex
OpenAI Codex launches in private beta, promising enhanced code generation from natural language inputs.
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Introducing Triton: Open-source GPU programming for neural networks
OpenAI launches Triton 1.0, an open-source GPU programming language that democratizes access to high-performance neural network coding.
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New Release
Deep Learning over the Internet: Training Language Models Collaboratively
Collaborative training of language models over the internet is now a reality, enhancing efficiency and reducing costs.
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Welcome spaCy to the Hugging Face Hub
spaCy models are now available on Hugging Face Hub, enhancing NLP capabilities for developers and researchers.
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Deploy Hugging Face models easily with Amazon SageMaker
Amazon SageMaker now offers streamlined deployment for Hugging Face models, enhancing accessibility for developers.
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Evaluating large language models trained on code
New research reveals significant advancements in large language models for coding tasks, guiding future AI development.
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New Release
Sentence Transformers in the Hugging Face Hub
Hugging Face Hub expands its offerings with Sentence Transformers, enhancing NLP capabilities for developers.
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New Release
Improving language model behavior by training on a curated dataset
Curated datasets are proving to be game-changers in enhancing language model behavior and performance.
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New Release
Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API
Hugging Face unveils few-shot learning capabilities of GPT-Neo through its Accelerated Inference API.
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New Release
Using & Mixing Hugging Face Models with Gradio 2.0
Gradio 2.0 enhances integration with Hugging Face models, streamlining AI application development.
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OpenAI Scholars 2021: Final projects
OpenAI Scholars 2021 showcase innovative open-source research projects after a six-month mentorship program.
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New Release
Will Hurd joins OpenAI’s board of directors
Former Congressman Will Hurd joins OpenAI's board, bringing essential public policy expertise to the AI powerhouse.
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Scaling-up BERT Inference on CPU (Part 1)
Hugging Face reveals techniques to enhance BERT inference performance on CPUs, promising significant latency reductions.
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New Release
Introducing 🤗 Accelerate
Hugging Face launches 🤗 Accelerate to optimize and speed up PyTorch model training.
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New Release
Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker
Hugging Face and Amazon SageMaker team up to enhance distributed training for BART and T5 summarization models.
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New Release
Understanding BigBird's Block Sparse Attention
BigBird's block sparse attention revolutionizes NLP by efficiently processing long sequences with reduced memory usage.
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GPT-3 powers the next generation of apps
Over 300 applications are now harnessing the power of GPT-3 to enhance user experiences with advanced AI capabilities.
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The Partnership: Amazon SageMaker and Hugging Face
Amazon SageMaker teams up with Hugging Face to simplify AI model deployment for developers.
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