[Webinar] How to Get the Best of Commercial and Open Source Large Language Models While Protecting Corporate IP


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 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

Ashok Subramanian, Consultant, Earley Information Science

Prakash Govind, Solution Architect, Earley Information Science


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Earley Information Science Team

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