Next generation resources for AI builders to create trusted solutions
Artificial intelligence is the application of machine learning to build systems that mimic the problem-solving and decision-making capabilities of the human mind. It includes several disciplines such as machine learning, knowledge discovery, natural language processing, computer vision, and data science. Generative AI refers to deep-learning models that can generate novel, high-quality text, images, and other content based on the data with which they were trained.
InstructLab empowers developers to unleash the full potential of LLMs, offering a streamlined training process, cost-efficiency, community collaboration, and stability in model performance.
Boost mainframe skills with watsonx Assistant for Z. Use AI to simplify IBM Z operations, automate tasks, and speed up learning for developers and IT teams.
Learn about our approach to open source, including where we focus our contributions in projects and communities, how we push innovation upstream, and what you should consider when embracing open source in your enterprise.
The Data Prep Kit (DPK) offers a diverse set of pre-built transforms to streamline data preparation for AI applications. These transforms cater to various data formats, including text, code, and structured data. These built-in transforms provide a strong foundation for handling common data processing tasks. This rich collection of built-in transforms empowers one to efficiently prepare the data for various AI and machine learning applications.
Learn to deploy and configure Red Hat OpenShift Lightspeed with IBM watsonx Runtime to enable generative AI chat for Kubernetes operations, troubleshooting, and insights.
In this tutorial, you learn how to use the Data Prep Kit (DPK) to prepare data for fine-tuning and to achieve the business use case of contract analysis.
About cookies on this siteOur websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising.For more information, please review your cookie preferences options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.