Accenture is forming an internal Nvidia Business Group staffed with 30,000 global employees trained to help clients “reinvent processes and scale enterprise AI adoption with AI agents,” the consulting firm announced. Accenture will also use its AI Refinery platform to help companies customize AI models and agents using the full Nvidia AI stack including AI Foundry, AI Enterprise and Omniverse. “With generative AI demand driving $3 billion in Accenture bookings in its recently closed fiscal year, the new group will help clients lay the foundation for agentic AI functionality,” Accenture said. Continue reading Accenture Has Plans for Scaling Enterprise AI with Nvidia Unit

After 50 years of SIGGRAPH, the conference has come full circle, from high-tech for PhDs to AI for everyone. That was Nvidia founder and CEO Jensen Huang’s message in back-to-back keynote sessions, including a Q&A with Meta CEO Mark Zuckerberg. Huang touted Universal Scene Description (OpenUSD), discussing developments aiming to speed adoption of the universal 3D data interchange framework for use in everything from robotics to the creation of “highly accurate virtual worlds for the next evolution of AI.” As Zuckerberg’s interlocutor, he prompted the Facebook founder to share a vision of AI’s personalization of social media. Continue reading Nvidia Debuts New Products to Accelerate Adoption of GenAI

Nvidia is expanding its substantive influence in the AI sphere with Nemotron-4 340B, a family of open models designed to generate synthetic LLM training data for commercial applications across numerous fields. Through what Nvidia is calling a “uniquely permissive” free open model license, Nemotron-4 340B provides a scalable way for developers to build LLMs. Synthetic data is artificially generated data designed to mimic the characteristics and structure of data found in the real world. The offering is being called “groundbreaking” and an important step toward the democratization of artificial intelligence. Continue reading Nvidia’s Open Models to Provide Free Training Data for LLMs

Microsoft, which has been developing small language models (SLMs) for some time, has announced its most-capable SLM family, Phi-3. SLMs can accomplish some of the same functions as LLMs, but are smaller and trained on less data. That smaller footprint makes them well suited to run in a local environment, which means they’re ideal for smartphones, where in theory they would not even need an Internet connection to run. Microsoft claims the Phi-3 open models can outperform “models of the same size and next size up across a variety of benchmarks that evaluate language, coding and math capabilities.” Continue reading Microsoft Small Language Models Are Ideal for Smartphones

Pursuant to his goal of “building the world’s leading AI,” Meta Platforms CEO Mark Zuckerberg announced Friday that Meta AI is upgrading to Llama 3 concurrent with a rollout of its open-source chatbot across the company’s social platforms, integrating it into the search boxes atop WhatsApp, Instagram, Facebook and Messenger. There is also a website, meta.ai, for those who prefer browser access. Reports of Meta upgrading its social AI capabilities began leaking out early last week, albeit on a more limited test scale than what Zuckerberg announced, which, excepting Threads, is cross-platform. Continue reading Meta AI Assistant Is Launching Across Platforms with Llama 3