Apple has released MGIE, an open-source AI model that edits images using natural language instructions. MGIE, short for MLLM-Guided Image Editing, can also modify and optimize images. Developed in conjunction with University of California Santa Barbara, MGIE is Apple’s first AI model. The multimodal MGIE, which understands text and image input, also crops, resizes, flips, and adds filters based on text instructions using what Apple says is an easier instruction set than other AI editing programs, and is simpler and faster than learning a traditional program, like Apple’s own Final Cut Pro. Continue reading Apple Launches Open-Source Language-Based Image Editor

IBM and Meta Platforms have launched the AI Alliance, a coalition of companies and educational institutions committed to responsible, transparent development of artificial intelligence. The group launched this week with more than 50 global founding participants from industry, startup, academia, research and government. Among the members and collaborators: AMD, CERN, Cerebras, Cornell University, Dell Technologies, Hugging Face, Intel, Linux Foundation, NASA, Oracle, Red Hat, Sony Group, Stability AI, the University of Tokyo and Yale Engineering. The group’s stated purpose is “to support open innovation and open science in AI.” Continue reading IBM and Meta Debut AI Alliance for Safe Artificial Intelligence

Stability AI, developer of Stable Diffusion (one of the leading visual content generators, alongside Midjourney and DALL-E), has introduced SDXL Turbo — a new AI model that demonstrates more of the latent possibilities of the common diffusion generation approach: images that update in real time as the user’s prompt updates. This feature was always a possibility even with previous diffusion models given text and images are comprehended differently across linear time, but increased efficiency of generation algorithms and the steady accretion of GPUs and TPUs in a developer’s data center makes the experience more magical. Continue reading Stability AI Intros Real-Time Text-to-Image Generation Model

The United Nations has formed an advisory board on artificial intelligence comprised of 39-members from government, academia and industry who will “undertake analysis and advance recommendations for the international governance of AI.” The move comes as U.S. legislators and tech industry players are also prioritizing model governance. “Globally coordinated AI governance is the only way to harness AI for humanity while addressing its risks and uncertainties,” the UN announced in unveiling the initiative, co-chaired by Carme Artigas, Spain’s secretary of state for digitalization and AI, and James Manyika, SVP of research, technology and society at Google. Continue reading Google, Microsoft, Sony Tapped for UN AI Governance Board

Hugging Face has collected $235 million in an investment round that includes contributions from Amazon, IBM, Google, Nvidia, Salesforce, AMD, Intel and Qualcomm. The New York-based startup creates and distributes open-source tools for artificial intelligence development, carving an AI-centric niche similar to the more general programming approach taken by the Microsoft-owned GitHub. The incoming cash infusion — earmarked for talent recruitment — gives Hugging Face a lofty $4.5 billion valuation that experts say indicates momentum for open source in what has to date been a highly competitive AI sector. Continue reading Big Tech Firms Propel Hugging Face to $4.5 Billion Valuation

This week, Meta Platforms released Llama 2, the next generation of its open-source large language model that is free for research and commercial use. Llama 2’s pretrained and fine-tuned language models are available in sizes ranging from 7 to 70 billion parameters. Meta also named Microsoft Azure its “preferred partner for Llama 2,” offering it through the Azure AI model catalog for use with cloud-native tools that leverage content filtering and safety features. Meta says Llama 2 is “also optimized to run locally on Windows,” providing developers a seamless workflow across enterprise and consumer platforms. Continue reading Meta Unveils Llama 2 LLM with Microsoft as Preferred Partner

Meta Platforms has debuted what’s being called “ChatGPT for audio.” MusicGen is an AI music generator that can create tunes from natural language or song snippets. The company says MusicGen was trained on 20,000 hours of music, including 10,000 hours of “high-quality” licensed songs and 390,000 instrumental tracks. Meta released MusicGen on GitHub this past weekend, and is currently demoing the app on Facebook’s Hugging Face page. Visitors can generate tunes by describing the sound they want. Among Meta’s prompts: “80s driving pop song with heavy drums and synth pads in the background.” Continue reading Meta’s MusicGen AI Works with Language and Song Prompts

With artificial intelligence development dating back to the 1950s, IBM was clearly ahead of its time. The company has quietly built a commercial portfolio, with more than 100 million customers across 20 industries using its Watson suite, the company says. At its annual Think conference, the company unboxed IBM Watsonx, a next-generation platform that leverages the scale and scope of foundation models to provide custom solutions for data-driven clients. Described as an “enterprise studio for AI builders,” Watsonx is an end-to-end framework that combines the tools, infrastructure and consulting expertise corporations can use to onboard AI. Continue reading IBM Bows Watsonx Suite of Enterprise AI Products, Services

Stability AI has released StableLM, an open source language model that will compete with OpenAI’s GPT-4 to create apps like ChatGPT. The Alpha version of StableLM is available in 3 billion and 7 billion parameters, and the company promises 15 billion to 65 billion parameter models to come. “With the launch of the StableLM suite of models, Stability AI is continuing to make foundational AI technology accessible to all,” the London-based company said. The StableLM models can generate text and code to power various downstream applications with appropriate training. Continue reading Stability AI Debuts Open Source StableLM Foundation Model

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Continue reading Report: Enterprise Supplants Academia as Driving Force of AI

Clement Delangue, co-founder and CEO of New York-based Hugging Face, turned a casual invitation to meet with open-source AI stakeholders during a trip to San Francisco into what is being called the “Woodstock of AI.” In a matter of days, the event ballooned to more than 5,000 people hosted at the Exploratorium on March 31. “We just crossed 1,500 registrations for the Open-Source AI Meetup!” Delangue messaged the RSVP list days before the event. “What started with a tweet might lead to the biggest AI meetup in history.” The 8-year-old company is also making headlines for its new HuggingGPT system. Continue reading Hugging Face Rallies Open-Source AI Community at Meetup

Facebook and AI startup Hugging Face open-sourced their new natural language processing model, Retrieval Augmented Generation (RAG), which finds and interprets contextual information on the fly. RAG is now available as a component of the Hugging Face transformer library, integrated with the new Datasets library to offer the indexed knowledge source RAG relies on. According to Facebook, RAG can alter or add to its internal knowledge, letting researchers control the model without needing to retrain it. Continue reading Facebook Makes New Natural Language Model Open Source