Join us for an illuminating webinar exploring the vast landscape of artificial intelligence (AI) and its practical applications in Process Safety Management (PSM). In this session, we'll unravel the intricacies of AI by delving into its three major branches: robotics, machine learning, and natural language processing (NLP). While robotics and machine learning have been on a trajectory of steady improvement, the spotlight has recently shifted towards NLP, catalyzed by breakthroughs like ChatGPT. However, navigating the terrain of AI isn't without its challenges, prompting a discussion on sensible AI-PSM use cases and unveiling the "Golden Rules of AI Safety" to ensure responsible deployment.
Furthermore, we'll delve into the nuances of utilizing Large Language Model AI, such as ChatGPT, for mathematical and engineering problem-solving tasks. Through the lens of "Prompt Engineering," attendees will gain insights into mitigating potential pitfalls associated with AI integration in technical domains. The session will also offer actionable guidance on benchmarking ChatGPT for PSM applications, empowering participants to understand AI capabilities and limitations while embarking on a journey of practical exploration. By the webinar's end, you'll emerge equipped with a comprehensive understanding of AI's branches, insights into ChatGPT's applications, awareness of safety protocols, and strategies for effective AI integration in PSM scenarios.
In one hour, you'll:
鈥� Explore the three major branches of AI: robotics, machine learning, and NLP, with a focus on practical applications in PSM.
鈥� Unveil the "Golden Rules of AI Safety" to ensure responsible AI deployment in PSM contexts.
鈥� Gain insights into utilizing Large Language Model AI, like ChatGPT, for technical problem-solving through "Prompt Engineering" techniques.
鈥� Receive actionable guidance on benchmarking ChatGPT for PSM applications, enabling hands-on exploration of AI capabilities and limitations.
Presenter
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE鈥檚 mission to educate, inform and improve the practice of professional chemical engineering. The content reflects the views, opinions, and recommendations of the presenters. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact chemepermissions@aiche.org. Attendee contact information, including email addresses, will be shared with AIChE, with the option to unsubscribe from future communications.
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