7 articles
BigBird introduces block-sparse attention mechanism reducing transformer quadratic complexity to linear. The approach combines local, global, and random attention to process sequences up to 4096 tokens, improving efficiency without sacrificing performance.
Over 300 applications leverage GPT-3 through OpenAI's API for search, conversation, text completion, and advanced AI features.
Amazon and Hugging Face announce a strategic partnership integrating Hugging Face models into SageMaker. The collaboration streamlines deployment, training, and inference of open-source models through AWS infrastructure.
Case study on building a serverless Transformers pipeline on Google Cloud. Author details architecture, integration challenges, and cost optimizations for deploying models in production without infrastructure management.
Hugging Face tutorial on fine-tuning Wav2Vec2 for English automatic speech recognition. Uses Transformers library and public datasets. Demonstrates adapting a pre-trained model to improve ASR performance.
Hugging Face curates key February 2021 publications on long-range transformers. Focus on extending context length and efficient architectures for processing long sequences.
OpenAI discovers multimodal neurons in CLIP that respond to the same concept regardless of presentation format (literal, symbolic, or conceptual). This finding explains CLIP's accuracy in classifying unusual visual renditions and advances understanding of associations and biases learned by such models.