Generative AI | News, how-tos, features, reviews, and videos
The potential for generative AI to deliver a significant return on investment is being demonstrated by early adopters across various industries. My company provides one example.
Generative AI is causing excitement but not success for most enterprises. This needs to change quickly, but it will take some work that enterprises may not be willing to do.
By using Google’s search results to ground generative AI applications, developers can provide users with more accurate, relevant, and trustworthy information, the company said.
While vendors say their current agentic AI-based offerings are easy to implement, analysts say that’s far from the truth.
Analysts generally agreed that they like the new capabilities, but also raised questions about complexity.
GitHub has extended Copilot’s model support to new Anthropic, Google, and OpenAI models and introduced GitHub Spark, an AI-driven tool for building web apps using natural language.
Tabnine AI agent is designed to enforce a development team’s best practices and standards throughout the software development process, using natural language rules.
By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future.
The Open Source AI Definition will provide a reference for determining whether an AI system is truly open source AI, OSI said.
A significant chasm exists between most organizations’ current data infrastructure capabilities and those necessary to effectively support AI workloads.