New Release
Introducing Decision Transformers on Hugging Face 🤗
Hugging Face unveils Decision Transformers, a model designed to enhance decision-making in complex environments.
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New Release
Machine Learning Experts - Margaret Mitchell
Margaret Mitchell joins Hugging Face, bringing her expertise in AI ethics and natural language processing to the forefront.
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Developing
Announcing the 🤗 AI Research Residency Program
Hugging Face launches a new residency program to support emerging AI researchers and foster innovation in the field.
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New Release
Fine-Tune a Semantic Segmentation Model with a Custom Dataset
Hugging Face reveals how to enhance semantic segmentation models with custom datasets for improved accuracy.
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New Release
Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia
Hugging Face and AWS team up to supercharge BERT inference speed and efficiency.
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New Release
Image search with 🤗 datasets
Hugging Face enhances image search capabilities with new integration in 🤗 datasets.
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New Release
New GPT-3 capabilities: Edit & insert
OpenAI enhances GPT-3 and Codex with new editing and content insertion capabilities.
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New Release
Guiding Text Generation with Constrained Beam Search in 🤗 Transformers
Hugging Face introduces a new method for text generation that enhances output quality through constrained beam search.
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Developing
A research agenda for assessing the economic impacts of code generation models
OpenAI unveils a research agenda to evaluate the economic impacts of code generation models on productivity and job markets.
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Developing
Economic impacts research at OpenAI
OpenAI invites researchers to explore the economic impacts of large language models to shape future policy and business strategies.
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New Release
Lessons learned on language model safety and misuse
OpenAI shares crucial insights on enhancing language model safety and preventing misuse in AI development.
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New Release
BERT 101 - State Of The Art NLP Model Explained
BERT revolutionizes natural language processing with its bidirectional context understanding.
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New Release
Fine-Tune ViT for Image Classification with 🤗 Transformers
Hugging Face's Transformers library now enables fine-tuning of Vision Transformers for enhanced image classification tasks.
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New Release
Solving (some) formal math olympiad problems
OpenAI's new neural theorem prover tackles high-school math olympiad challenges, enhancing student problem-solving skills.
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New Release
Getting Started with Sentiment Analysis using Python
Unlock the power of sentiment analysis in Python to enhance your business insights and customer engagement.
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New Release
Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers
Hugging Face's Wav2Vec2 now processes lengthy audio files, enhancing automatic speech recognition capabilities.
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New Release
Aligning language models to follow instructions
OpenAI's new InstructGPT models set a new standard for instruction-following and toxicity reduction in AI interactions.
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New Release
Introducing text and code embeddings
OpenAI API now features powerful text and code embeddings for enhanced semantic search and clustering.
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New Release
Supercharged Searching on the 🤗 Hub
Hugging Face enhances search capabilities on the 🤗 Hub, making it easier to find AI models and datasets.
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New Release
Text and code embeddings by contrastive pre-training
OpenAI unveils a new contrastive pre-training method that enhances text and code embeddings for AI applications.
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New Release
Welcome Stable-baselines3 to the Hugging Face Hub 🤗
Stable-baselines3 joins the Hugging Face Hub, streamlining access to reinforcement learning algorithms for developers.
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New Release
Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs
Hugging Face Infinity achieves groundbreaking millisecond latency for AI models on modern CPUs, revolutionizing real-time application performance.
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New Release
Boosting Wav2Vec2 with n-grams in 🤗 Transformers
Hugging Face enhances Wav2Vec2 with n-grams, boosting speech recognition accuracy for developers and researchers.
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