Foundation models are very large AI models. They have billions of parameters and are trained on terabytes of data. Foundation models can perform a variety of tasks, including text-, code-, or image generation, classification, conversation, and more. Large language models are a subset of foundation models used for text- and code-related tasks. In IBM watsonx.ai, there is a collection of deployed large language models that you can use, as well as tools for experimenting with prompts.
- Prompt Lab
- Python library
- Prompt tips
- Retrieval-augmented generation
Parent topic: Analyzing data and working with models