WEBINAR ON-DEMAND

Customizing Large Language Models & Generative AI for Business

Large Language Models (LLMs) often serve as the backbone for many generative AI solutions. However, off-the-shelf generative AI solutions often fail to meet business needs, pose data security risks, and deliver less than optimal results. As transformative technology, it would be unreasonable for organizations to do without LLMs and generative AI tools. Undoubtedly, AI is changing how we work and do business. Disregarding it would be foolish. As a result, organizations are increasingly turning toward developing customized LLMs and generative AI tools tailored to their specific needs to mitigate the risks and maximize opportunities.

 

Discover the power of customizing LLMs with domain-specific or company data. This process not only adapts LLMs to cater to specific use cases and business requirements but also paves the way toward superior efficiency, productivity, and innovation. Watch this webinar to delve into the intricacies of tailoring existing LLMs and crafting a specialized Generative AI solution that perfectly aligns with your business needs.

 

Unveil the potential of LLMs and understand how five businesses in the fields of Education, Publishing, Software, Healthcare, and eCommerce are modifying existing models to build exclusive applications. As a result, these organizations are optimizing internal workflows, introducing innovative services, and more.

 

In this webinar, you will:

  • Explore the depth of LLM capabilities.
  • Understand the benefits of an LLM tailored to your use case.
  • Delve into real-world examples of specialized generative AI applications using LLMs.
  • Hear from Martin Balaam, CEO of Pimberly, about the company’s experience creating a custom generative AI application.

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Featuring

Debarshi Chaudhury

CEO & Founder
Quantilus Innovation

Martin Balaam

CEO & Founder
Pimberly

Debarshi Chaudhury

CEO & Founder
Quantilus Innovation

Martin Balaam

CEO & Founder
Pimberly

WEBINAR

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Wednesday, June 19, 2024

12:00 PM ET •  9:00 AM PT