Pick the model that actually held up in production.

AI code completion tool that provides context-aware inline suggestions in IDEs for multiple programming languages with privacy-first deployment options.

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

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

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.

AI-first code editor built on VS Code with semantic codebase indexing, multi-file refactoring capabilities, and autonomous agents for development tasks.

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