In the rapidly evolving world of ChatGPT and Large Language Models (LLMs), businesses are understandably apprehensive. Numerous potential hazards and hurdles exist such as: 

  • Unrealistic expectations of LLMs as a magic solution to managing corporate content without requisite human involvement 
  • Difficulty distinguishing between creative outputs and fabricated responses (hallucinations)
  • Decisions around training models: balancing usefulness with the threat of exposing trade secrets or other proprietary knowledge 
  • Absence of clear audit trails and citation sources 
  • The risk of generating responses misaligned with company policies or brand image 
  • Potential financial burden of proprietary LLMs and related enterprise software platforms

In this webinar, we will examine a structured approach to harvest, utilize, and protect corporate knowledge resources. We will explore how both commercial and open-source large language models can be leveraged to deliver precise conversational responses without jeopardizing intellectual property.

Join us on August 23, 1pm EST, to learn how your organization can effectively use LLM based applications for competitive advantage.  Using a general LLM  will provide efficiency, but through standardization.  Differentiation using your corporate terminology and knowledge will allow for competitive advantage.  You don’t have to deploy ChatGPT to benefit from these approaches. They will improve the information metabolism of the enterprise and pave the way for advanced AI applications.  

Seth Earley

Founder & CEO, Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.  


Prakash Govind

Solution Architect, Earley Information Science

Technical architect for Earley Information Science, Prakash develops and implements knowledge management solutions.  Currently researching use of LLMs in knowledge programs.

Ashok Subramanian

Consultant, Earley Information Science

Serving as an independent advisor, Mr. Ashok R. Subramanian is a visionary leader with nearly two decades of experience in bringing exciting technology to the customer. As a Global Software Business and Technology Executive, Mr. Subramanian has a proven track record in developing technology-based products and solutions - to new levels of growth and profitability worldwide through insightful vision, emerging technology expertise, and relentless innovation. Mr. Subramanian having trained at two institutions including Harvard University and Florida Tech, has has accumulated the skills and experience in Computer Science and Business to deliver many AI/ML powered applications to multiple verticals like Oil & Gas, Energy, Automobiles, Manufacturing, Financial Services, Insurance, and Healthcare & Lifesciences.

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