Open Source AI
Core ConceptsAI models whose weights and (sometimes) training code are publicly released, allowing anyone to run, modify, and build on them.
Full Explanation
Open source AI (Meta's LLaMA, Mistral, Stable Diffusion) contrasts with closed models (GPT-4, Claude, Gemini) where the weights are proprietary. Open models can be run locally (full privacy), fine-tuned for specific use cases, and deployed without per-token API fees. The quality gap between open and closed models has narrowed significantly — LLaMA 3.1 405B is competitive with GPT-4o.
Related Terms
Further training a pre-trained AI model on a smaller, task-specific dataset to specialize its behavior.
A large AI model trained on broad data at scale that can be adapted for many different downstream tasks.
A type of AI model trained on vast amounts of text data that can generate, summarize, translate, and reason about language.