Hugging Face provides a detailed analysis of the DROP benchmark in the Open LLM Leaderboard, which evaluates reading comprehension and information extraction. The article examines model performance on this specific task and the challenges it presents.
Comparison of RoBERTa, Llama 2, and Mistral on disaster tweets analysis using LoRA. Performance evaluation of fine-tuning on specialized dataset.
Hugging Face releases a framework to train personalized coding assistants. The platform enables developers to fine-tune models on their own codebases to create copilots tailored to their specific projects.
Hugging Face explores simple optimizations for SDXL, the image generation model. The article details techniques to reduce latency and memory consumption without degrading visual quality.
Ironclad integrates GPT-4 to automate and simplify contract review, reducing time and errors in legal processes.
Typeform integrates GPT-3.5 and GPT-4 to transform online forms into conversational and dynamic data collection experiences.
Retool integrates GPT-4 to enable businesses to build AI-powered applications quickly and securely.
Practical guide to train a LLaMA 2 chatbot without technical expertise. Covers data preparation, fine-tuning, and deployment using accessible tools.
Rocket Money and Hugging Face collaborate to scale volatile ML models in production. The solution optimizes inference and resource management for unstable models in critical environments.
Hugging Face introduces a guide to 3D Gaussian Splatting, a rendering technique representing 3D scenes through gaussians. Alternative approach to NeRF offering better performance and visual quality.
Hugging Face publishes a guide to optimizing LLMs in production, covering quantization techniques, distillation, and efficient deployment to reduce inference latency and costs.
OpenAI opens an office in Dublin, Ireland, to expand its presence in Europe.
OpenAI hosts its first developer conference on November 6 in San Francisco. In-person registration opens in coming weeks, with livestream access for the keynote.
Hugging Face introduces SafeCoder, a code security tool. The system analyzes and validates generated code to detect vulnerabilities and bad practices before deployment.
OpenAI acquires Global Illumination. The entire team has joined OpenAI.
Practical step-by-step guide for generating 3D assets. Covers tools, workflows, and best practices for creating 3D models with AI.
OpenAI and other leading labs commit voluntarily to AI safety, security and trustworthiness. These commitments aim to strengthen AI governance ahead of mandatory regulation.
Hugging Face celebrates the first anniversary of Diffusers, its open-source library for diffusion models. The milestone highlights growing adoption and community contributions to the framework.
Hugging Face showcases an AI-powered WebTV prototype combining vision models, video generation, and autonomous agents to create automated television content. The system integrates video analysis, content synthesis, and multi-agent orchestration.
Hugging Face showcases its open-source ecosystem for text generation and LLMs, including models, tools, and community resources for developing and deploying AI applications.
OpenAI publishes a position paper on frontier AI regulation, proposing a framework to manage emerging risks to public safety. The company calls for a balanced approach combining innovation with safety measures.
OpenAI announces the opening of its first international office in London, United Kingdom.
Hugging Face's fourth Ethics and Society newsletter examines bias in text-to-image models. The article analyzes how these systems reproduce and amplify stereotypes from training data, with implications for fairness and representation.
Hugging Face announces updated content guidelines and policy for its platform. Guidelines cover models, datasets, and spaces with clear moderation and compliance criteria.
Hugging Face investigates whether foundation models can label data with human-level quality. The article examines automated labeling capabilities and compares performance against human annotators.
Hugging Face launches an initiative to integrate the Hub into galleries, libraries, archives and museums. The platform enables cultural institutions to access AI models and datasets, democratizing AI adoption in the heritage sector.
Hugging Face integrates AI speech recognition into Unity through a new extension. Developers can implement speech-to-text models directly in games and applications without cloud infrastructure.
Hugging Face announces an open source AI game jam. The event invites developers and creators to build games using open source models and community tools.
OpenAI calls for early thinking on superintelligence governance—future AI systems dramatically more capable than AGI. The company frames foundational debate on control frameworks needed before their emergence.
Hugging Face selected by French Data Protection Agency (CNIL) for enhanced support program. Recognition of the company's commitment to data protection and regulatory compliance in AI.
Hugging Face explores the architecture and capabilities of text-to-video models. The article details current approaches, technical challenges, and practical applications of this emerging technology.
Hugging Face introduces StarCoder, a language model specialized in code generation. The model achieves performance comparable to proprietary solutions on standard coding benchmarks.
Hugging Face releases installation and usage guide for its Unity API, enabling game developers to integrate AI models directly into Unity projects.
Hugging Face demonstrates running IF (Imagen Diffusion) on free Google Colab using the diffusers library. Practical tutorial for image generation without paid GPU access.
Hugging Face explains how to host a Unity game in a Space. The tutorial covers deploying interactive 3D applications on the platform, enabling developers to share their games directly online without external infrastructure.
Hugging Face presents a graph classification method using transformers. The approach combines transformer architecture with graph representations to improve performance on structured classification tasks.
Hugging Face and Jupyter collaborate to integrate models and datasets directly into Jupyter notebooks. This integration enables seamless access to AI resources without leaving the development environment.
Khan Academy tests GPT-4 in a limited pilot program to explore its potential for virtual education in the classroom.
Be My Eyes integrates GPT-4 to enhance visual accessibility. The service helps blind and low-vision users interpret images and visual content in real-time using AI.
Iceland is using GPT-4 to preserve its language against English dominance. The project aims to enrich Icelandic linguistic resources and improve AI models' ability to process Icelandic.