Global AI and Data Science

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 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.

This is the second tutorial in a series of four, in which you learn how to work with different large language models (LLM) in IBM watsonx.ai flows engine. Experimenting with models that are available in watsonx.ai (like IBM Granite, Meta’s Llama, or Mistral) is completly free and doesn’t require a credit card. After completing the entire series, you'll be able to build generative AI flows that are tailored to each of these models, and deploy them to the cloud using watsonx.ai flows engine.

Read the complete tutorial on IBM Developer.

Connect with me on the watsonx Community, register here.

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