What Makes Large Language Models Expensive?

Subscribers:
1,190,000
Published on ● Video Link: https://www.youtube.com/watch?v=7gMg98Hf3uM



Duration: 19:20
42,551 views
1,375


Explore watsonx.ai → https://ibm.biz/IBM_watsonx_ai

Amidst the buzz surrounding the promising capabilities of large language models in business, it's crucial not to overlook a practical concern: cost. In this video, Jessica Ridella, Jessica Ridella, IBM’s Global Sales Leader for the watsonx.ai generative AI platform, delves into seven pivotal factors crucial for understanding generative AI in the enterprise. She explores elements influencing cost, such as model size and deployment options, while also shedding light on potential cost-saving strategies like harnessing pre-trained models. By the video's conclusion, you'll gain a comprehensive understanding of the factors influencing costs and discover optimal strategies for the efficient utilization of large language models in your enterprise.

Get started for free on IBM Cloud → https://ibm.biz/sign-up-now
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now







Tags:
IBM
IBM Cloud
LLM
Large Language Model
GPU
Graphical Processing Unit
ML
Machine Learning
AI
Artificial Intelligence
GenAI
Gen AI
Generative AI
GAI