Foundation Model
A Foundation Model is a large AI model pre-trained on broad datasets that serves as a base for diverse downstream tasks. GPT-4, Claude, Llama, and Stable Diffusion are foundation models. They are trained once at great expense, then adapted to specific use cases via fine-tuning, prompt engineering, or RAG.
Why does this matter?
Foundation models fundamentally change AI economics: instead of training own models, companies build on existing foundation models. This lowers the entry barrier for AI projects by orders of magnitude. The strategic question is no longer "whether AI" but "which foundation model for which purpose."
How IJONIS uses this
We help you choose the right foundation model: GPT-4 or Claude for complex reasoning tasks, Llama or Mistral for privacy-sensitive on-premise scenarios, Stable Diffusion for image generation. Our AI consulting compares models based on your specific requirements — performance, cost, licensing, and GDPR compliance.