watsonx.ai

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

Model Context Protocol (MCP) represents a fundamental shift in how we build AI applications. In this comprehensive tutorial, we'll explore MCP and learn how to build a production-ready integration with IBM watsonx.ai, demonstrating how to create AI applications that can seamlessly connect to enterprise data and services.

Learn about open source LLMs with these instructor-led sessions that showcase generative ai-based use cases to build your gen AI ecosystem.

Discover the top 5 most popular blogs, articles, and tutorials for the first half of 2025 for one of the most popular programming languages for the generative AI space: Python.

Learn how to automate expense reports using AI, natural language prompts, JSON, IBM watsonx.ai, large language models, and no-code vibe coding techniques.

In this tutorial, we explore two experimental notebooks that demonstrate how agentic workflows can support the creation of data pipelines using the Data Prep Kit based on user input provided in natural language.

Using watsonx.ai TextExtraction API, you can efficiently extract text from PDFs and other documents that are highly structured and contain information in tables. You can extract and convert to a file format that is easier to work with programmatically, such as Markdown or JSON.

By integrating IBM Datacap with watsonx.ai using a custom action, we unlock a new level of intelligence and flexibility in document processing. This approach not only simplifies data extraction from complex and variable document layouts but also enables dynamic behaviors, such as populating line items from structured AI output, that were previously difficult to implement without rigid templates.

To build a generative AI form filling tool, you can use a large language model (LLM) to extract, classify and summarize documents. In this tutorial, we walk you through a sample application that applies these techniques to a recipe website. For this example, we used three main AI tools to perform the tasks: Docling, watsonx.ai, and Langchain.

In this comprehensive guide, you’ll learn exactly how to do both—combining the simplicity of SQL and the intelligence of watsonx.ai to handle everything from basic lookups to advanced text searches.