Authors : Koffka Khan

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4k8sbnrf

DOI : https://doi.org/10.5281/zenodo.8321632

Abstract : The Video Streaming Language Model Framework (VSLMF) is a comprehensive structure designed to understand and categorize the diverse landscape of language models tailored for video streaming applications. This framework classifies models based on key dimensions, including Model Type, Model Scale, Task, Domain, and Fine-Tuning Strategy, providing a systematic approach to navigate the complexity of these models. By delineating the variations within each dimension, the VSLMF offers insights into the capabilities, efficiency, and specialization of language models in the context of video streaming. With the rapid evolution of language technology, the VSLMF serves as a crucial tool for researchers, developers, and practitioners seeking to harness language models to enhance video streaming experiences. It offers a roadmap to evaluate, compare, and select models for specific video-related tasks and domains while encouraging ongoing exploration and advancement in this dynamic field.

Keywords : Video Streaming, Language, Model, Framework.