generativeai
By Paul Krill Red Hat has unveiled Podman AI Lab, an extension to the Podman Desktop graphical interface that lets developers build generative AI-powered applications in containers. Announced May 7, Podman AI Lab is intended to make it easier to develop with AI in a local environment. The Podman AI Lab extension supports the adoption of generative AI for building intelligent applications or enhancing their workflow using AI-augmented development capabilities, Red Had said. Instructions for installing the Podman AI Lab extension can be found at developers.redhat.com. Podman AI Lab’s companion, ...
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By Paul Krill Red Hat has launched Red Hat Enterprise Linux AI (RHEL AI), described as a foundation model platform that allows users to more seamlessly develop and deploy generative AI models. Announced May 7 and available now as a developer preview, RHEL AI includes the Granite family of open-source large language models (LLMs) from IBM, InstructLab model alignment tools based on the LAB (Large-Scale Alignment for Chatbots) methodology, and a community-driven approach to model development through the InstructLab project, Red Hat said. The entire solution is packaged as a bootable RHEL image f...
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By Paul Krill Oracle has announced Oracle Code Assist, an AI-powered coding assistant that will provide developers with context-specific suggestions that can be tailored to an organization’s best practices and codebases. Oracle did not provide an availability date for Oracle Code Assist, but said that developers at Oracle have been using the tool to build Oracle products and services. Oracle Code Assist can be used to write, upgrade, and refactor code written in most modern programming languages, the company said. Powered by large language models (LLMs) running on Oracle Cloud Infrastructure (...
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By Anirban Ghoshal Microsoft is reportedly working on a new large language model (LLM) to take on Google’s Gemini and OpenAI’s GPT-4. Codenamed MAI-1, the new LLM is currently in the development phase and is being led by Mustafa Suleyman, co-founder of Google DeepMind and Inflection AI, The Information reported citing two sources. Suleyman joined Microsoft in March along with Karen Simonyan, the other co-founder of Inflection AI, in order to lead the company’s copilot effort, according to a blog post authored by Microsoft Chief Executive Satya Nadella. Microsoft had also paid $650 million to I...
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By Asa Whillock The generative AI party is still raging. This zeitgeist has rocked the business world daily in a million ways, and the ground is still shifting. Now, four months into 2024, we’re starting to see businesses, particularly those with rarified pragmatic brands, starting to demand evidence of value, of the path to the true ROI derived from AI. As pragmatic voices for value rise, how do thoughtful business leaders respond? Alteryx studied exactly this question. What are the concrete pathways to AI value? We surveyed leading CIOs and board members and found a brightly lit approach to ...
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By David Linthicum As a seasoned advocate and expert in cloud computing and generative AI, I’ve observed the immense transformative potential these technologies offer. Yet, we’re doing things just as stupidly as we did in the early days of cloud computing. If you have not noticed lately, enterprises are running around in circles to fix mistakes they made 10 years ago in migrating and building new cloud-based systems. Repatriation is shorthand for “whoops!” The lack of planning and understanding has led to huge bills that nobody expected, and CIOs are attempting to mitigate. This means instead ...
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By Kjell Carlsson Responsible AI (RAI) is needed now more than ever. It is the key to driving everything from trust and adoption, to managing LLM hallucinations and eliminating toxic generative AI content. With effective RAI, companies can innovate faster, transform more parts of the business, comply with future AI regulation, and prevent fines, reputational damage, and competitive stagnation. Unfortunately, confusion reigns as to what RAI actually is, what it delivers, and how to achieve it, with potentially catastrophic effects. Done poorly, RAI initiatives stymie innovation, creating hurdle...
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By Anirban Ghoshal MongoDB has introduced the MongoDB AI Applications Program, or MAAP, to help enterprises jumpstart their development of generative AI applications. MAAP, according to the company, will offer enterprises strategic advice, professional services, and an integrated end-to-end technology stack from MongoDB and its partners. These partners include consultancies, foundation model (FM) providers, cloud infrastructure providers, and generative AI framework and model hosting providers including Anthropic, Anyscale, Amazon Web Services (AWS), Cohere, Credal.ai, Fireworks.ai, Google Clo...
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By Anirban Ghoshal Amazon Web Services (AWS) on Tuesday said that it was making its generative AI-powered coding assistant Amazon Q Developer generally available. Introduced as the evolution of Amazon CodeWhisperer at AWS re:Invent in November, Amazon Q will compete with rival offerings such as GitHub Copilot, Gemini Code Assist, and IBM’s Watsonx Code Assistant, AWS said. The generative AI-based coding assistant can perform tasks such as generating code, testing code, upgrading applications, troubleshooting applications, performing security fixes, and optimizing AWS resources, the company add...
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By Hamid Azzawe Data has the potential to provide transformative business insights across various industries, yet harnessing that data presents significant challenges. Many businesses struggle with data overload, with vast amounts of data that are siloed and underutilized. How can organizations deal with large and growing volumes of data without sacrificing performance and operational efficiency? Another challenge is extracting insights from complex data. Traditionally, this work has required significant technical expertise, restricting access to specialized data scientists and analysts. Recen...
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