Terms | Description |
Temperature | is a parameter that influences the randomness and creativity output |
Artificial Intelligence | Artificial intelligence is a technology that enables computers and machines to simulate human intelligence and problem-solving capabilities |
Retrieval Augmented Generation | RAG is a technique for enhancing accuracy and reliability of generative AI models with facts fetched from external sources |
Large Language Models | Large language models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks |
Small Language Models | Small language models are essentially more streamlined versions of LLMs. They work almost as well as bigger models but use far fewer resources and need less computing power |
Few Shot Learning | FSL is a machine learning framework in which an AI model learns to make accurate predictions by training on a very small number of labelled examples. |
Prompt Engineering | Prompt engineering is the practice of designing inputs for AI tools that will produce optimal outputs. |
Zero Shot Learning | Zero-shot learning (ZSL) is a machine learning scenario in which an AI model is trained to recognize and categorize objects or concepts without having seen any examples of those categories or concepts beforehand |
Grounding | Grounding refers to the ability of a generative artificial intelligence system to connect its understanding and language generation to the real world or a shared knowledge base |
Parameters | Parameters are internal variables that machine learning models adjust during their training process to improve their ability to make accurate predictions. They act as the model’s “knobs” that are fine-tuned based on the provided data |
Machine Learning | Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy. |