Foundation Model vs LLM: What's the Difference in 2026?
A foundation model is any broadly capable model trained on massive data. An LLM is a specific kind — foundation models also include vision, audio, and multimodal.
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A foundation model is any broadly capable model trained on massive data. An LLM is a specific kind — foundation models also include vision, audio, and multimodal.
Narrow AI excels at one task. General AI (AGI) would match humans at any intellectual task. All deployed AI today is narrow.
Generative AI creates new content. Predictive AI forecasts outcomes from patterns. Different goals, different models, often used together.
AI makes decisions. Automation executes repetitive tasks. Robotics is the physical body. They combine in many modern systems but are distinct concepts.
RAG retrieves facts at query time. Fine-tuning bakes behavior into model weights. Use RAG for facts; fine-tune for style or narrow tasks.
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