Jan. 30, 2024, 5:14 p.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

One of the most exciting advancements in AI and machine learning has been speech generation using Large Language Models (LLMs). While effective in various applications, the traditional methods face a significant challenge: the integration of semantic and perceptual information, often resulting in inefficiencies and redundancies. This is where SpeechGPT-Gen, a groundbreaking method introduced by researchers […]


The post Fudan University Researchers Introduce SpeechGPT-Gen: A 8B-Parameter Speech Large Language Model (SLLM) Efficient in Semantic and Perceptual Information Modeling appeared first on …

ai and machine learning ai paper summary ai shorts applications artificial intelligence challenge editors pick face gen information integration language language model language models large language large language model large language models llms machine machine learning modeling researchers semantic speech speech generation staff tech news technology university

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Global Data Architect, AVP - State Street Global Advisors

@ State Street | Boston, Massachusetts

Data Engineer

@ NTT DATA | Pune, MH, IN