overview of large AI models and their applications Xiaoguang Tu1, Zhi He1, Yi Huang2, Zhi-Hao Zhang3, Ming Yang1 and Jian Zhao4,5* Abstract In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim....
I vantaggi dell'IA per le telecomunicazioni I modelli fondativi per l'intelligenza artificiale Machine learning: Cos'è MLOps? Soluzioni edge per processi decisionali in tempo reale Cosa sono le applicazioni intelligenti? Cos'è la retrieval-augmented generation?
Size inparameters.Parameters are the variables that thegenerative AI modellearns during training. Their quantity indicates the AI's capacity to understand human language and other data. Bigger models can capture more intricate patterns and nuances. When is a model considered large? The definition is...
2. Specializing Large Language Models for Telecom Networks by ITU AI/ML in 5G Challenge We are excited to announce, in collaboration with ITU (https://aiforgood.itu.int/event/specializing-large-language-models-for-telecom-networks/) and the IEEE ETI GenAI (https://genainet.committees.comsoc....
Xu anticipated more than 100% growth this year for the firm’s generative AI business, which has been deployed in sectors ranging from telecommunications to financial institutions, with clients such as China Merchants Bank, Haitong Securities and China Telecom....
Generative AI such as large language models (LLMs) have revolutionized many aspects of life. As these models and tools become more and more pervasive and accessible, novel frameworks and approaches need to be designed t...
Scenari di utilizzo dell'AI/ML trasformativi si registrano in tutti i settori: sanità, servizi finanziari, telecomunicazioni, automotive e altri. Grazie alle sue piattaforme open source e a un consolidato ecosistema di partner, Red Hat è in grado di offrire soluzioni complete per la creazion...
Read part 1 of this 5-part blog series - "Navigating the frontier: Key considerations for developing a generative AI integration strategy for the enterprise" Read part 2 of this 5-part blog series - "Comprehensive tactics for optimizing large language models for your application" Read part 3 ...
Welcome to the GitHub repository for our survey paper titled"Controllable Text Generation for Large Language Models: A Survey."This repository includes all the resources, code, and references related to the paper. Our objective is to provide a thorough overview of the techniques and methodologies us...
For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. This is where the Retrieval Augmented Generation (RAG) technique comes in. RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its...