What is a GPT?

GPT stands for "Generative Pre-trained Transformer." It's a type of artificial intelligence language model that uses a transformer architecture. The "Generative" part indicates that the model is capable of generating coherent and contextually relevant text, and "Pre-trained" means that the model is trained on a large corpus of diverse data before being fine-tuned for specific tasks.

Large Language Models

A type of AI that is designed to "understand" and generate human language. LLMs work by processing large amounts of text, understanding the structure and meaning, and learning from it.

What is a Hallucination?

In the context of AI, hallucination refers to a situation where a machine learning model generates outputs that are not based on actual data but are instead fabricated or imagined by the model itself. This can occur when a model is trained on diverse and complex datasets, and during the training process, it starts to produce outputs that do not align with the patterns and information present in the training data.

Hallucinations can be problematic because they result in the generation of incorrect or nonsensical information. For example, in image generation tasks, a model may hallucinate features or objects that don't exist in the real world. In natural language processing, a language model might produce sentences or phrases that sound coherent but lack factual accuracy.

What is Multimodal?

In the context of AI, multimodal refers to the integration of information from different modes or sources, such as text, images, speech, and possibly other data types. Multimodal AI systems leverage multiple modalities to understand and generate content, making them more versatile in processing and interpreting diverse forms of input.

For instance, a multimodal AI model might be capable of understanding both textual descriptions and visual information in an image, enabling more comprehensive and context-aware analysis. This integration of various modalities is particularly valuable in tasks like image captioning, sentiment analysis, or even natural language processing where understanding both text and visual cues enhances the overall understanding of the content.

Algorithm

An algorithm is a sequence of rules given to an AI machine to perform a task or solve a problem. Common algorithms include classification, regression, and clustering.

For more AI terms, you can view this online list: https://www.coursera.org/articles/ai-terms