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 podcast from the Carnegie Mellon University Software Engineering Institute, 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.
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Why Software Architects Must Be Involved in the Earliest Systems Engineering Activities
Selecting Metrics for Software Assurance
AI in Humanitarian Assistance and Disaster Response
The AADL Error Library: 4 Families of Systems Errors
Women in Software and Cybersecurity: Suzanne Miller
Privacy in the Blockchain Era
Cyber Intelligence: Best Practices and Biggest Challenges
Assessing Cybersecurity Training
DevOps in Highly Regulated Environments
Women in Software and Cybersecurity: Dr. Ipek Ozkaya
The Role of the Software Factory in Acquisition and Sustainment
Defending Your Organization Against Business Email Compromise
My Story in Computing with Dr. Eliezer Kanal
Women in Software and Cybersecurity: Eileen Wrubel
Managing Technical Debt: A Focus on Automation, Design, and Architecture
Women in Software and Cybersecurity: Grace Lewis
Women in Software and Cybersecurity: Bobbie Stempfley
Women in Software and Cybersecurity: Dr. Lorrie Cranor
Leading in the Age of Artificial Intelligence
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