Glossary
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.
Short nameLLM
Trained onLarge volumes of text
Found inIBM Bob, ChatGPT, Claude, GitHub Copilot
IBM i-tuned models vs general models
| Tool | Model approach |
|---|---|
| IBM Bob | A fine-tuned model built around the IBM i environment. It draws on IBM Granite, Meta Llama and Mistral models. |
| GitHub Copilot, ChatGPT, Claude | Trained broadly across many programming languages and everyday text |
IBM i tools that let you choose the model
- Profound AI: hosted models from OpenAI, Google, Anthropic and Meta, or Llama-3 70B on premises
- CoderFlow: Anthropic Claude, OpenAI GPT-5 or Google Gemini
- X-Modernize AI: several LLM vendors, including Claude
- DbToo: watsonx Granite, Ollama or OpenAI-compatible endpoints
Related Terms
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.
Generative AI
AI systems that generate new content, such as code, text, or explanations, rather than only classifying or scoring existing data.
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.