19 articles
Hugging Face deploys Stable Diffusion XL on Mac via Core ML with advanced quantization. Model runs locally without cloud, reducing latency and costs. Optimization specific to Apple silicon.
OpenAI launches a new industry body to promote safe and responsible development of frontier AI systems. The initiative focuses on advancing AI safety research, identifying best practices and standards, and facilitating information sharing between policymakers and industry.
Hugging Face releases Agents.js, a JavaScript library enabling LLMs to use tools. It simplifies integration of AI agents into web and Node.js applications through a straightforward API.
Hugging Face analyzes the EU AI Act's implications for open-source models. The article examines how compliance requirements apply to open models and proposes considerations for developers and regulators.
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 hosts an open source AI Game Jam bringing together developers and creators. The event produces games leveraging open source AI models (Llama, Mistral, etc.). Results demonstrate growing adoption of AI in indie game development.
OpenAI rolls out custom instructions for ChatGPT, enabling users to set preferences that the model will apply across all future conversations.
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.
OpenAI partners with American Journalism Project in a $5+ million deal to explore how AI development can support local news and ensure local news organizations shape the future of this emerging technology.
Meta releases Llama 2, an open-source language model available on Hugging Face. The model comes in multiple sizes and can be used freely for research and commercial applications.
Hugging Face showcases its open-source ecosystem for text generation and LLMs, including models, tools, and community resources for developing and deploying AI applications.
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 releases a guide for fine-tuning Stable Diffusion models on Intel CPUs. The method leverages CPU-specific optimizations to reduce memory requirements and accelerate training without dedicated GPUs.
Viable uses GPT-4 to analyze qualitative data at large scale with unparalleled accuracy.
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.
Transformers.js enables building AI-powered web games directly in the browser without backend servers. The library runs pre-trained transformer models in JavaScript, providing computer vision, natural language processing, and content generation for interactive games.
Hugging Face launches Inference Endpoints for deploying LLMs in production. Managed service providing auto-scaling, monitoring, and Hub integration. Eliminates infrastructure management for inference.
Hugging Face presents a web app generator using open-source ML models. The approach combines multiple models to transform text descriptions into functional HTML/CSS/JavaScript code, demonstrating the viability of open models for complex code generation.
Hugging Face provides solutions for deploying complex generative AI models in production. The article covers integration with popular frameworks, performance optimization, and best practices for advanced use cases.