IBM (NYSE: IBM) today announced additions to its Granite portfolio of large language models intended to deliver small, efficient enterprise AI. The new Granite 3.2 models include: A new vision language model (VLM) for document understanding tasks that IBM said demonstrates performance ….
Massachusetts Launches Flagship AI Models Innovation Challenge, $2M in Funding
February 13, 2025 by
The Massachusetts Technology Collaborative’s (MassTech) Innovation Institute announced the launch of the Massachusetts (MA) AI Models Innovation Challenge, a flagship initiative under the newly established Massachusetts AI (Artificial Intelligence) Hub.
Toward AGI: AI Innovation Will Be Driven by Applications, Not LLMs
February 13, 2025 by
DeepSeek’s LLM caused a stir, but … companies like OpenAI and Anthropic are aiming higher, their sights are set on artificial general intelligence (AGI), for which LLMs will be a component. No matter how fast, powerful, or efficient they get, LLMs alone won’t be enough to achieve AGI.
Balancing Innovation and Risk: Current and Future Use of LLMs in the Financial Industry
February 6, 2025 by
Large language models (LLMs) have revolutionized how we interact with clients, partners, our teams, and technology within the finance industry. According to Gartner, the adoption of AI by finance functions has increased significantly in the past year, with 58 percent ….
Generative AI Report: Stravito Introduces Generative AI Advances that Transform Search into Conversation – and Information into Intelligent Answers
June 22, 2023 by
Welcome to the Generative AI Report, a new feature here on insideAI News with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model plus a knowledge base equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace. Enjoy!
The Move Toward Green Machine Learning
November 6, 2022 by
A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers.
