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2122개 기사

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Accelerating PyTorch distributed fine-tuning with Intel technologies

2021.11.19읽기
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OpenAI’s API now available with no waitlist

Wider availability made possible by safety progress.

2021.11.18읽기
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Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers

2021.11.15읽기
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Scaling up BERT-like model Inference on modern CPU - Part 2

2021.11.04읽기
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Solving math word problems

We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems.

2021.10.29읽기
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Large Language Models: A New Moore's Law?

2021.10.26읽기
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Course Launch Community Event

2021.10.26읽기
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Train a Sentence Embedding Model with 1B Training Pairs

2021.10.25읽기
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The Age of Machine Learning As Code Has Arrived

2021.10.20읽기
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Fine tuning CLIP with Remote Sensing (Satellite) images and captions

2021.10.13읽기
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Showcase Your Projects in Spaces using Gradio

2021.10.05읽기
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Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

2021.10.05읽기
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Summer at Hugging Face

2021.09.24읽기
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Summarizing books with human feedback

Scaling human oversight of AI systems for tasks that are difficult to evaluate.

2021.09.23읽기
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Introducing Optimum: The Optimization Toolkit for Transformers at Scale

2021.09.14읽기
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Hugging Face and Graphcore partner for IPU-optimized Transformers

2021.09.14읽기
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Helen Toner joins OpenAI’s board of directors

Today, we’re excited to announce the appointment of Helen Toner to our board of directors.

2021.09.08읽기
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TruthfulQA: Measuring how models mimic human falsehoods

2021.09.08읽기
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OpenAI Codex

We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.

2021.08.10읽기
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Introducing Triton: Open-source GPU programming for neural networks

We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.

2021.07.28읽기