Large Language Model
Large Language Model is a neural network trained on huge amounts of text that can understand…
Large Language Model is a neural network trained on huge amounts of text that can understand…
Generative AI is AI that creates new content — text, images, audio, video, or code —…
Prompt is the instruction or input you give a generative AI model to tell it what…
Prompt Engineering is the practice of designing and refining prompts to get more accurate and useful…
Retrieval-Augmented Generation is a technique that lets a model pull in relevant external documents at query…
System Prompt is a hidden instruction that sets a model's role, tone, and rules before a…
Function Calling is a capability that lets a language model trigger external tools or code in…
Grounding is connecting a model's answers to verified sources or data to reduce errors.
RLHF is reinforcement learning from human feedback, a method that aligns AI outputs with human preferences…
Hallucination is when an AI model produces confident but false or fabricated information.
Context Window is the maximum amount of text a language model can consider at once when…
Temperature is a setting that controls randomness in a model's output — lower is more focused,…
Zero-Shot Learning is a model performing a task it was not explicitly trained on, using only…
Few-Shot Learning is giving a model a handful of examples in the prompt to guide it…
Chain of Thought is a prompting technique that asks a model to reason step by step,…
Multimodal AI is AI that can understand and generate more than one type of data, such…
Diffusion Model is a generative model that creates images by gradually removing noise, used by many…
GAN is a generative adversarial network, where two neural networks compete to produce realistic synthetic data.
Foundation Model is a large model trained on broad data that can be adapted to many…
Agent is an AI system that can take actions, use tools, and pursue goals across multiple…