Here are the main models that can be used as engines for AI agents:

1. Large Language Models (LLMs): Used for text-based tasks and natural language processing.

2. Vision Transformers (ViT): Utilized for image processing and computer vision tasks.

3. Conformers: Specialized models for speech recognition and audio processing.

4. Multimodal Transformers (MMT): Models capable of processing various forms of input simultaneously, including text, images, and speech.

5. Self-Supervised Learning Models: Models that can discover meaningful patterns even from unlabeled data.

These models serve as the central processing engines for AI agents, used to assess situations and determine appropriate actions based on collected information.

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