Presentation: Demystifying LLMs: A Guide for Project Managers to Unlock the Potential of Large Language Models (LLMs)
Abstract: Large language models (LLMs) are at the peak of the hype curve but are they really all they’re cracked up to be? In this talk we will demystify LLM technology – helping project managers understand the history of LLMs, how they work, their strengths/limitations and how they are reshaping multiple industries. We will also explore the latest innovations in LLM technology, including ChatGPT plugins, Agent-based approaches for using LLMs, and how LLMs can be combined with other generative AI models (e.g., image generators) to handle highly complex tasks.
We will also provide practical tips for incorporating LLM technology for project management. Attendees will gain insights into how these models can optimize schedules, automate document analysis and summarization tasks, assist in generating project documentation and reporting, be used for brainstorming, and accelerate project team training and onboarding. We will provide specific instructions on how project managers can start exploring this technology using open source and commercial tools. We also review a case study describing how LLMs have been used successfully by project managers to date.
Finally, we provide an overview of the risks and ethical concerns associated with using LLM technology within projects and for project management. We cover topics including the on-going legal challenges facing LLM technology and data privacy issues – providing practical guidance that empowers project managers to make informed decisions about using LLM technology.
By the end of this talk, project managers will have a high-level understanding of how LLMs work, how they are applied, how they can be used to augment their existing suite of project management tools, and the risks associated with using them for in their projects and for streamlining project management tasks.
PMI Talent Triangle: Ways of Working
Biography: Marissa Beall is a chief data scientist at Booz Allen Hamilton with 9 years of experience delivering innovative, data-driven solutions to clients across the DoD and Intelligence community. She helps organizations create and operationalize automation, machine learning, and big data capabilities to protect national security interests and accelerate the delivery of mission critical information to the warfighter.
Marissa holds a Bachelor of Science degree in Statistics from the University of South Carolina and a Master of Science degree in Operations Research from George Mason University. She is affiliated with Women in Data Science (WiDS) and Girls Who Code to encourage and support young women pursuing a career in technology.
