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2120개 기사

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Assisted Generation: a new direction toward low-latency text generation

2023.05.11읽기
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Language models can explain neurons in language models

We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.

2023.05.09읽기
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Creating a Coding Assistant with StarCoder

2023.05.09읽기
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A Dive into Text-to-Video Models

2023.05.08읽기
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StarCoder: A State-of-the-Art LLM for Code

2023.05.04읽기
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How to Install and Use the Hugging Face Unity API

2023.05.01읽기
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Training a language model with 🤗 Transformers using TensorFlow and TPUs

2023.04.27읽기
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Databricks ❤️ Hugging Face: up to 40% faster training and tuning of Large Language Models

2023.04.26읽기
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Running IF with 🧨 diffusers on a Free Tier Google Colab

2023.04.26읽기
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New ways to manage your data in ChatGPT

ChatGPT users can now turn off chat history, allowing you to choose which conversations can be used to train our models.

2023.04.25읽기
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Introducing HuggingFace blog for Chinese speakers: Fostering Collaboration with the Chinese AI community

2023.04.24읽기
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How to host a Unity game in a Space

2023.04.21읽기
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Accelerating Hugging Face Transformers with AWS Inferentia2

2023.04.17읽기
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Graph Classification with Transformers

2023.04.14읽기
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Creating Privacy Preserving AI with Substra

2023.04.12읽기
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Announcing OpenAI’s Bug Bounty Program

This initiative is essential to our commitment to develop safe and advanced AI. As we create technology and services that are secure, reliable, and trustworthy, we need your help.

2023.04.11읽기
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Snorkel AI x Hugging Face: unlock foundation models for enterprises

2023.04.06읽기
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Our approach to AI safety

Ensuring that AI systems are built, deployed, and used safely is critical to our mission.

2023.04.05읽기
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StackLLaMA: A hands-on guide to train LLaMA with RLHF

2023.04.05읽기
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Ethics and Society Newsletter #3: Ethical Openness at Hugging Face

2023.03.30읽기