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What Makes Large Language Models Expensive?
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AI Fundamentals - What Makes Large Language Models Expensive?

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This course includes

  • 7.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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

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