Small and Nimble – the Fast Path to Enterprise GenAI

Generative AI Webinar Series

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The fast path to integrate the power of generative AI for your business is not necessarily general purpose, third-party giant models! Smaller LLM models, like those less than 20B parameters, can be a good or better match for your needs. Recent commercially available compact models, such as Llama 2, can address the key attributes that you need– performance, domain adaptation, private data integration, verifiability of results, security, flexibility, accuracy, and cost effectiveness. Join Intel Labs as we evaluate the effectiveness of open source LLM models, discuss pros and cons, and share methods to build nimble models.

What you’ll learn about nimble models:

  • Advantages and challenges
  • The ecosystem-driven technology advancement of small, open models
  • Performance compared with top-tier giant models
  • Methods to build one and ways to assess its benefits and value
  • The full path from a nimble model to a fully adapted model in business
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Speakers



Gadi Singer

Vice President and Director of Emergent AI Research at Intel Labs



Moshe Berchansky

NLP Deep Learning Researcher at EAI Intel Labs

Hosts



Sancha Huang Norris

Generative AI Marketing Lead at Intel's Data Center and AI Business Unit