A Video Streaming Language Model Framework (VSLMF)

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

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.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.