Granite models

In this tutorial, learn how to set up a local AI co-pilot in Visual Studio Code using IBM Granite 4, Ollama, and Continue, overcoming common enterprise challenges such as data privacy, licensing, and cost. The setup includes open-source LLMs, Ollama for model serving, and Continue for in-editor AI assistance.

Learn how to build a Language Advisor agent with Langflow, Ollama’s Granite 4.0 Micro model, and IBM watsonx Orchestrate. Detect code language, fetch best‑practice guides via web search, and deliver concise, actionable summaries all on‑premise and governed.

Learn about using Granite models and watsonx for enterprise AI with Java. Understand the importance of openness, interoperability, and long-term support in AI adoption. Granite models provide an open foundation for AI, while watsonx delivers enterprise governance and lifecycle management. The combination of Quarkus, LangChain4j, Jakarta EE, and Red Hat OpenShift AI provides a complete story for confident AI adoption. This approach aligns AI adoption with the principles that made Java successful, ensuring investments remain valuable over time.

Learn how the Java ecosystem is adapting to the AI era and how IBM and Red Hat are investing to secure its future.

In this article, we demonstrate using different prompts with different contexts to analyze how LLMs behave when asked generic-related questions. We show how the Granite 3.3-2b model is good at identifying associated quantifiers in generic phrases and the model's responses are context-driven too.

InstructLab empowers developers to unleash the full potential of LLMs, offering a streamlined training process, cost-efficiency, community collaboration, and stability in model performance.

Explore how generative AI helps financial services meet EU AI Act compliance with transparency, risk management, and regulatory automation tools.

Introducing Data Prep Kit (DPK) as a streamlined data preparation tool for LLMs

Boost mainframe DevOps with AI tools such as watsonx Code Assistant for Z and IBM Test Accelerator for Z for COBOL refactoring, Java transformation, automated testing, and z/OS modernization.

In this tutorial, learn how to build a Ray runtime, create unit tests, integrate with CI/CD, and add KFP extensions to existing transforms.