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Exploring Different Types and Sizes of LLMs — the Engines that Power Generative AI | Experts

Event Overview

Generative AI and large language models (LLMs) are firmly within the mainstream conscious thanks to the explosive popularity of ChatGPT. But language modeling has been in the works for 75 years now. And while data scientists in the know have always expected advancements in the technology were on the horizon, even they are amazed at the mass adoption of generative AI tools and pace of change taking place in today’s market. Join Aditya Prabhakaron, a lead data scientist for WWT, as he talks about generative AI and LLMs and what they mean for businesses of all kinds. Aditya details an experiment he and his team performed exploring the capabilities of different size language models, and dives into a few dos and don’ts when it comes to generative AI in the enterprise.

Featured Speaker

Aditya Prabhakaron

World Wide Technology

Lead Data Scientist

Aditya is a Lead Data Scientist with WWT. He leads projects that help clients leverage data-driven decision making to improve business outcomes. He...

What to expect

WWT Experts is a recurring webinar series that highlights the people that make technology work. In each episode, host Matt Coble interviews an engineer, developer or technologist about the relevant business solutions they've created, the technologies they've mastered and the trends they're seeing in the market. Episodes are published exclusively for registered users of the ATC Platform. Registration also grants users 24/7 access to our virtual lab environments, vast partner ecosystem, trainings and proofs of concept and industry-leading research. Use our platform to:
  • Get hands-on, on-demand experience
  • Capture real-world insights and research
  • Leverage practical and actionable guidance
  • Compare, contrast and validate multi-vendor solutions
  • Think creatively about strategy
  • Tap into our industry-leading expertise and unparalleled training

Goals and Objectives

Learn about generative AI and various types of large language models (LLMs), and understand risks and rewards of enterprise adoption.

Who should attend?

IT and business leaders, engineers, anyone interested in learning more about generative AI.

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