Train, tune and distribute models with generative AI and machine learning capabilities
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 having the flexibility to experiment with various models can significantly enhance the development and deployment of generative AI applications. Watsonx.ai flows engine offers this flexibility by providing a unified API that works seamlessly with all models available on the IBM watsonx platform.
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Red Hat Enterprise Linux AI Now Generally Available for Enterprise AI Innovation in Production
Red Hat 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 (gen AI) models to power enterprise applications. The platform brings together the open source-licensed Granite large language model (LLM) family and InstructLab model alignment tools, based on the Large-scale Alignment for chatBots (LAB) methodology, packaged as an optimized, bootable RHEL image for individual server deployments across the hybrid cloud.
Bringing your own custom foundation model to IBM watsonx.ai
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 even more with our enterprise AI studio: upload and deploy your own custom foundation models across software and SaaS environments.
IBM TechXchange Conference 2024 Updates - Community
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Nick - watsonx Community Team
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