Tutorials

Put an emphasis on accessibility throughout your entire development process and ensure that applications are usable by everyone.

In this tutorial, learn how to set up a local AI co-pilot in Visual Studio Code using IBM Granite Code, 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.

This tutorial will show you an implementation of Agentic Retrieval-Augmented Generation (RAG). It can perform multi-step workflows like combining document search and web search to perform complex tasks like business research, feature comparison, news retrieval based on projects, personal knowledge management, and more.

Automate IBM Cloud resource management across enterprise accounts using APIs, IAM templates, service IDs, and Trusted Profiles for full control.

This quick start guide gets you up and running with Quarkus on macOS, including necessary tools. You will build a basic database application using Quarkus, Java 17, PostgreSQL, and Hibernate ORM Panache.

IBM watsonx.ai can deploy models that have been fine-tuned with different methods. One such method is called Parameter-Efficient Fine-Tuning (PEFT), which is a powerful technique that enables the efficient adaptation of pre-trained models to specific tasks, without requiring significant computational resources or large amounts of training data. By using PEFT, you can adapt the model to your specific needs, while minimizing the risk of overfitting.

Learn how to contribute to open source large language models (LLMs), such as the IBM Granite models, using InstructLab UI.

Learn how to set up a high-availability VPN between IBM Cloud and OCI using a hub-and-spoke architecture for secure, scalable, and reliable cloud connectivity.

Learn to launch and run an IBM MQ client application in the Microsoft Azure serverless environment.