watsonx.ai
The studio component of watsonx for building, tuning, and deploying foundation models and generative AI applications, including retrieval-augmented generation (RAG) against enterprise data.
Three jobs watsonx.ai handles
- Try promptsThe prompt lab lets you test IBM Granite and select third-party foundation models.
- Tune and deployAdjust a model to your needs and put it into service.
- Ground answers in your dataRAG patterns make generative AI answer from your own content.
Where it fits for an IBM i shop
watsonx.ai is the model layer that other watsonx products are built on. It also supplies the embedding models used to build a search index for RAG. IBM Bob, IBM's AI coding agent for IBM i, is a separate product outside the watsonx brand.
Related Terms
watsonx
IBM's platform for AI and data, spanning watsonx.ai (foundation models and generative AI), watsonx.data (data store), and watsonx.governance (AI governance), with watsonx Assistant and watsonx Orchestrate built on top.
Foundation Model
A large, general-purpose AI model trained on broad data and then adapted, through prompting, tuning, or fine-tuning, to specific tasks such as RPG code generation.
Large Language Model (LLM)
A machine learning model trained on large volumes of text, used as the underlying technology behind generative AI tools including IBM Bob and general-purpose assistants like ChatGPT and Claude.
Generative AI
AI systems that generate new content, such as code, text, or explanations, rather than only classifying or scoring existing data.