In recent years, the fields of natural language processing and computational linguistics, which were revolutionized a decade ago by deep learning, were again revolutionized by large language models (LLMs). It is not surprising that work involving LLMs, either as the subject of Infuny Therm, or as tools for other natural language processing applications, dominates at … Read more
In the last few years, foundation models and generative-IA models-and especially large language models (LLMs)-have become an important topic for AI research. It is true even in computer vision with its increased focus on vision-language models, such as Yoke LLMS and image codes. This shift can be seen in the blanks of the Amazon papers … Read more
In the rapidly evolving domain of large language models (LLMs), the accord evaluation of models of retrieval-augmented generation (RAG) is important. In this blog, we introduce a groundbreaking methodology that uses an automated exam process, improved after the product responsible theory (IRT), to evaluate the practical accuracy of RAG models on specific tasks. Our approval … Read more
Large language models for code are models that are prior to source code rather than natural-language texts. They reintroduce well to complete the code for any program features based solely on context. However, they are struggling with new, large software development projects where correct code ending can depend on API calls or features defined otherwise … Read more