artificialintelligence
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 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 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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By Paul Krill GitHub is offering a technical preview of GitHub Copilot Workspace, which provides a developer environment based on the GitHub Copilot AI-powered programming assistant. The GitHub Copilot Workspace preview was introduced April 29. Described as a Copilot-native development environment for everyday tasks, GitHub Copilot Workspace allows developers “to brainstorm, plan, build, test, and run code in natural language,” GitHub said. GitHub Copilot Chat, the natural language assistant, was introduced in November. GitHub Copilot Workspace features an AI-assisted, task-centric workflow. S...
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By Matt Asay In the rush to embrace coding assistants like Amazon CodeWhisperer to generate new code for developers, we haven’t spent much time asking if that code is any good. By some measures, the answer is clearly “no.” According to a GitClear analysis, “Code generated during 2023 … resembles [that of] an itinerant contributor,” likely caused by increased use of coding assistants. This is not to say that coding assistants are bad. They can be incredibly helpful. The issue is we need to invest more time figuring out ways to apply generative AI to tasks like code refactoring now, as covered i...
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By David Linthicum Back in the early days of the cloud, I had a nice little business taking enterprise applications and reengineering them so they could be delivered as software-as-a-service cloud assets. Many enterprises believed that their custom application, which provided value by addressing a niche need, could be resold as a SaaS service and become another source of income. I saw a tire company, a healthcare company, a bank, and even a bail-bond management company attempt to become cloud players before infrastructure as a service was a thing. Sometimes it worked out. The key hindrance was...
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