A language model is an artificial intelligence system designed to understand, generate or manipulate human language.
More specifically, it is a computer programme that has been trained on vast quantities of textual data to learn the structures, patterns and statistical relationships between words, phrases and concepts.
This enables him to :
predict the continuation of a sentence by estimating the probability of occurrence of each subsequent word.
generate text in a coherent and fluid manner.
perform a variety of natural language processing (NLP) tasks, such as machine translation, text summarisation and question answering.
In the field of artificial intelligence, a parameter is a property learned from the data used to train the model. It is an adjustable element that determines the behaviour and functionality of the AI model.
A Proof of Concept (PoC) is a demonstration or prototype designed to prove the feasibility of an idea, product or technology before it is fully developed. It is a key stage in various fields such as IT, engineering, innovation and project management.
A Proof of Concept is a preliminary stage in validating an innovation before it is developed on a large scale.
The AI Point of Delivery (POD) represents the key stage where the artificial intelligence solution is officially delivered, deployed and accessible to its end users....
Retrieval-Augmented Generation (RAG) is an advanced AI technique that improves the quality and relevance of responses produced by language models by connecting the system to a knowledge base.
Rather than relying solely on the knowledge acquired during their training, these models search in real time for information in databases, documents or other external sources before generating a response. This enables them to be more accurate, better informed and contextually more relevant.
