IBM AI →
The Community for AI architects and builders to learn, share ideas and connect with others
Join/Log In
As a developer, staying up-to-date with the latest tools and technologies can be overwhelming. That's why we're excited to introduce the quick-start trial experience for IBM watsonx Code Assistant for Red Hat Ansible Lightspeed . This experience allows you to try out watsonx Code Assistant for...
Hi, I am Manoj Jahgirdar AI Engineer in IBM Ecosystem Engineering - SI Labs. I have written two tutorials on Training your large language models using the Instruct Lab with Skills and Knowledge. Tutorial Links: Train open source LLMs with collected skills with InstructLab Train open...
There are so many foundation models available for AI Development, but how do you pick the right one? Picking the wrong one might cost you money, time, accuracy, and reliability. I'm Martin Keen, Master Inventor, and in this video, I walk through a six step approach to picking the right model...
Here's all you need to know about it: 1. This model is capable of understanding images and text. 2. It can handle variable image resolution, supporting images with arbitrary sizes. 3. It can process large documents with interleaved text and images 4. It has a 128k context...
I attended the Information AI Summit in San Francisco, where I had the opportunity to connect with and hear from amazing leaders in the AI space. Here’s the 7 bets we all should make: 1. Stay Agnostic - Avoid the risk of proprietary lock-in by remaining flexible with...
IBM and ESPN are unveiled enhancements to the ESPN Fantasy app – powered by generative AI technologies from IBM's AI and data platform , watsonx – designed to deliver a more customized and engaging digital experience for more than 12 million fantasy football users. The announcement...
From the Newsroom Use various models with watsonx.ai flows engine for basic prompting, summarization, and classification tasks New models are released almost every day, making it hard for developers to know which one to use based on how they differentiate or are priced. That’s why...
Red Hat, Inc., the world's leading provider of open source solutions, announced the general availability of Red Hat Enterprise Linux (RHEL) AI across the hybrid cloud. RHEL AI is Red Hat’s foundation model platform that enables users to more seamlessly develop, test and run generative AI ...
Introducing custom foundation models We’re excited to announce a new feature update to watsonx.ai that delivers an open framework. This gives users access to a catalogue of built-in models and patterns that can be seamlessly extended through a “build your own model” capability. You can now do...
IBM Granite.Code offers developers a powerful AI coding companion in a single, lightweight extension. This companion is built to work with IBM's cutting-edge Granite Large Language Model (LLM) for code and is available at no charge for individual developers. IBM Granite.Code provides robust,...