Generative AI: How It Works and Why It Matters

The release of OpenAI’s ChatGPT took the AI world by storm a year ago. Dhamani and Engler, co-authors of Introduction to Generative AI, will discuss how generative AI models work at a high level, with an emphasis on large language models (LLMs). This engaging discussion will not only explore the immense potential of LLMs but also shed light on their inherent limitations, fostering a nuanced understanding of their capabilities. They will discuss the broader societal, legal, and ethical issues that surround them, such as copyright and intellectual property, bias, and misuse. Further, Dhamani and Engler will share their real-world experience and outline paths forward, including recommendations for using generative tools responsibly and research approaches towards the development of safer generative AI. This discussion will be accessible to both technical and non-technical audiences, ensuring that everyone can grasp the transformative capabilities and limitations of these models so that we can collectively work towards a society that is informed and considerate about generative AI.

 

The release of OpenAI’s ChatGPT took the AI world by storm a year ago. Dhamani and Engler, co-authors of Introduction to Generative AI, will discuss how generative AI models work at a high level, with an emphasis on large language models (LLMs). This engaging discussion will not only explore the immense potential of LLMs but also shed light on their inherent limitations, fostering a nuanced understanding of their capabilities. They will discuss the broader societal, legal, and ethical issues that surround them, such as copyright and intellectual property, bias, and misuse. Further, Dhamani and Engler will share their real-world experience and outline paths forward, including recommendations for using generative tools responsibly and research approaches towards the development of safer generative AI. This discussion will be accessible to both technical and non-technical audiences, ensuring that everyone can grasp the transformative capabilities and limitations of these models so that we can collectively work towards a society that is informed and considerate about generative AI.

 

Introduction to Generative AI can be purchased on ManningAmazonTarget, and Barnes and Noble. Use the code pbdhamani on manning.com for 45% off.

 

SPEAKERS

 

Numa Dhamani is a Principal Machine Learning Engineer at KUNGFU.AI working at the intersection of technology and society. She is a natural language processing expert with domain expertise in influence operations, security, and privacy. Numa has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for start-ups and nonprofits. She has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense’s research programs, and contributed to multiple international peer-reviewed journals.


Maggie Engler is an engineer and researcher currently working on safety for large language models at Inflection AI. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is a committed educator and communicator, and has taught as an adjunct instructor at the University of Texas at Austin School of Information.

Monday, February 12 at 2:00pm to 3:00pm

Peter T. Flawn Academic Center (FAC), 334A
2304 WHITIS AVE , Austin, Texas 78705

Event Type

Campus & Community, Year of AI, For the UT Community

Website

https://generativeai-feb12.splashthat...

Group
Year of AI
Hashtag

#TexasAI

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