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by Hugging Face · 0 reviews

Distilled version of BERT with far fewer parameters and faster inference while preserving most of BERT's performance on language understanding tasks.

by Google Research · 0 reviews

Efficient pre-training method that trains models as discriminators to identify replaced tokens instead of predicting masked ones, achieving faster convergence than BERT.

by Google Research · 0 reviews

Deep convolutional neural network trained on ImageNet for classifying images into object categories with high accuracy.

by Google Research / CMU · 0 reviews

Extended Transformer architecture that captures much longer dependencies than RNNs through segment-level recurrence and relative positional encoding.

by Meta AI · 0 reviews

Foundation model for promptable visual segmentation in images and videos, enabling real-time object tracking and zero-shot generalization to unseen content.

by Mistral AI · 0 reviews

A company offering open-source large language models, including general-purpose chat models and specialized models for code generation and mathematics.

by Facebook AI · 0 reviews

Robustly optimized BERT algorithm that improves upon BERT with new pretraining objectives, larger mini-batches, and higher learning rates for better NLP performance.

by Google Research · 0 reviews

Text-to-Text Transfer Transformer that treats every NLP task as a text-to-text problem, enabling a unified framework for translation, summarization, Q&A, and other language tasks.

by Microsoft Research · 0 reviews

Deep residual learning network architecture that enables training of very deep neural networks through skip connections for image classification tasks.

by Google Research · 0 reviews

Family of convolutional neural networks that use compound scaling to uniformly scale depth, width, and resolution for efficient image classification.

by Salesforce Research · 0 reviews

Identifier-aware unified encoder-decoder model that leverages code semantics for both code understanding and generation tasks including defect detection and summarization.

by Google Research · 0 reviews

A lighter BERT variant that reduces parameter count sharply while retaining most of BERT's performance on NLP benchmarks through factorization and parameter sharing.

by Google Research · 0 reviews

Lightweight family of convolutional neural networks designed for efficient inference on mobile and embedded devices with minimal computational overhead.

by Google Research · 0 reviews

Autoregressive pre-trained transformer using permutation language modeling to learn bidirectional context and outperform BERT on multiple language understanding tasks.

by Google AI · 0 reviews

A bidirectional transformer pre-trained with masked language modeling; strong on many NLP tasks.

by OpenAI · 0 reviews

A large multimodal language model that understands text and images, more accurate and creative than GPT-3.5.

by Meta AI · 0 reviews

A promptable zero-shot image segmentation model trained on 1.1B masks over 11M images.

by Google Research · 0 reviews

Applies transformers directly to image patches for classification; inspired many CV variants.

by Ultralytics · 0 reviews

The latest YOLO family model for real-time object detection, classification, and segmentation.

by Meta AI · 0 reviews

A family of open foundation models optimized for efficiency and performance across sizes and tasks.