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A Foundation Model is a large-scale AI model trained on massive, broad datasets (typically through self-supervised learning) that serves as the baseline starting point for multiple downstream tasks. Examples include GPT-4, LLaMA, and stable diffusion models.
GPT (Generative Pre-trained Transformer) is a decoder-only autoregressive transformer architecture developed by OpenAI. It was pre-trained on massive text datasets to predict next words, pioneering the modern conversational AI era.
A Reasoning Model (or o1-style model) is an artificial intelligence model trained to perform reinforcement learning and execute chain-of-thought steps internally before returning an answer. This allows the model to deliberate, correct mistakes, and evaluate strategies.
Auto-GPT is an open-source autonomous agent application that showcases the capabilities of Large Language Models (specifically GPT-4) to run independently to achieve a user-defined goal by chaining thoughts and actions in a continuous loop.
