Understand how AI identifies and locates specific objects within images or videos, both classifying what they are and where they are.

Explore the AI field that enables machines to interpret and understand visual data from images and videos.

Learn about the parameter that controls randomness and creativity in AI outputs, from deterministic responses to creative generation.

Discover the maximum number of tokens an AI model can process simultaneously, defining its "memory" capacity during interactions and tasks.

Learn about the technique that encourages AI to reason step-by-step, improving accuracy on complex logic and math problems.

Discover how models perform tasks they’ve never seen during training, using only instructions and general knowledge.

Explore how models can learn new tasks with only a few examples, demonstrating remarkable adaptability and transfer learning capabilities.

Understand the phenomenon where AI models generate false or nonsensical information that appears plausible and convincing.

Learn how external information retrieval systems enhance language models, reducing hallucinations and improving factual accuracy.

Discover how pre-trained models are adapted for specific tasks by training further on smaller, task-specific datasets.