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The Messy Middle of Large Language Models

Jay Palat and Rachel Dzombak discuss the current landscape of large language models (LLMs) and how to leverage tools built on top of LLMs, such as ChatGPT and Copilot.

Software Engineering Institute

DOI (Digital Object Identifier)




The recent growth of applications that leverage large language models, including ChatGPT and Copilot, has spurred reactions ranging from fear and uncertainty to adoration and lofty expectations. In this SEI podcast, Jay Palat, senior engineer and technical director of AI for mission, and Dr. Rachel Dzombak, senior advisor to the director of the SEI’s AI Division, discuss the current landscape of large language models (LLMs), common misconceptions about LLMs, how to leverage tools built on top of LLMs, and the need for critical thinking around both the outputs of the tools and the trends in their use.

About the Speaker

Headshot of Jay Palat.

Jay Palat

Jay Palat is an SEI alumni employee.

Jay Palat is a software engineer at the SEI Emerging Technology Center and leads engineering efforts for customers and research projects. Before coming to SEI, Palat ran his own consulting company, accelerating engineering teams with a mix of management, best practices, and product …

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Photo of Rachel Dzombak

Rachel Dzombak

Dr. Rachel Dzombak is an SEI alumni employee.

Dr. Rachel Dzombak is the digital transformation lead within the Emerging Technology Center at Carnegie Mellon University’s Software Engineering Institute. In this role, Dzombak works with organizations to realize the capability of artificial intelligence (AI) for mission outcomes. Additionally, Dzombak helps lead …

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