• Hallucination

    Hallucination occurs when an AI model generates false or misleading content that seems plausible but is not based on real data. It’s a major challenge in applications like chatbots, legal tools, and healthcare AI.

  • LLM

    Large Language Models (LLMs) are a type of GenAI that learn patterns from vast amounts of text data. They are enormous in terms of both computing power and the amount of training data used.

  • Token

    A token is the smallest unit of text (like a word or part of a word) that a generative AI model processes. Models use tokens to understand and generate language efficiently and accurately.

  • Training Data

    Training data is the information used to teach AI models how to understand and generate content. It includes text, images, audio, or video, and must be high-quality and diverse to ensure accurate and creative outputs. This data acts as the foundation for learning—without it, even the most advanced algorithms are ineffective.