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Models Beginner Also known as: Modello di base · Base model

Foundation model

A large model trained on very general data, designed to be reused and adapted for many different tasks rather than serving a single purpose.

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In practice

GPT-4, Claude, Llama are foundation models. For most use cases you do not train a new one: you use it via API or open weights and adapt it with prompting, RAG, or a small fine-tune on top.

Related terms

LLM Fine-tuning Frontier model

Seen in the wild

12 entries mentioning it
  1. Robotics foundation model: a new step toward the "GPT of manipulation"
    High
  2. Local AI 2025: Ollama, MLX LM, Apple Foundation Models triple the speed
    Medium
  3. CrossFormer: a single transformer for 20+ robot embodiments with rigorous scaling analysis
    High
  4. NVIDIA Isaac GR00T N1.5: robotic foundation model with synthetic data pipeline
    High
  5. NVIDIA GR00T: foundation model for humanoid robots with Isaac Sim
    High
  6. Florence-2: a single visual model for captioning, detection, segmentation, and OCR
    High
  7. OpenVLA: the first open-source Vision-Language-Action model for generalist robotics
    Medium
  8. DROID: the most diverse robot manipulation dataset with 76,000 demonstrations
    High
  9. Open X-Embodiment: the first generalist cross-robot robotics dataset
    High
  10. PaLM-E: the first embodied VLM at 562 billion parameters
    Landmark
  11. LLaMA: Meta opens foundation models to research
    High
  12. On the Opportunities and Risks of Foundation Models: Stanford coins the term
    High
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