Mon, Aug 12th: “Controlling and Constraining LLM’s” 6:00 PM, CU Boulder

The Rocky Mountain AI Interest Group (RMAIIG) will host an in-person meeting on Mon, Aug 12th, at 6:00 PM MDT in Boulder on “Controlling and Constraining LLM’s.”

We've all struggled to get the response we want from a Large Language Model. Emerging techniques now offer better ways to control LLM responses, ensuring more consistent formats and reliability in product workflows. We’ll also discover how advanced observability can enhance your LLM experience and learn the importance of protecting sensitive information across generative AI interactions.

“Controlling and Constraining Large Language Models”
CU Boulder: In-person
ATLAS building (Room 100)
1125 18th St, Boulder, CO 80309
Mon, Aug 12th
6:00 - 8:00 PM MDT
5:30 PM - free pizza (thanks to NexusTek!)

Our first speaker, Uche Ogbuji will give a talk exploring emerging techniques to better control LLM outputs, enhancing their reliability in product workflows.

Uche Ogbuji is an AI engineering lead, consultant, and startup founder with a long history in AI, data, and network technologies. He contributes to open-source projects like OgbujiPT, co-founded the AI DIY YouTube show, and is also a writer, public speaker, and artist. He also leads the AI for Entrepreneurs and Startups (AES) Subgroup for RMAIIG.

Next, SallyAnn DeLucia, Product Manager at Azize will explore the use of guardrails, datasets, and experiments to enhance AI application performance and reliability. This talk will provide AI practitioners actionable insights into optimizing their development processes to achieving cutting-edge results once applications hit production.

SallyAnn DeLucia is a Product Manager at Arize AI, a leader in LLM observability & evaluation. A passionate machine learning enthusiast and generative AI specialist, she holds a master’s degree in Applied Data Science. Delucia combines a creative outlook with a dedication to developing solutions that are not only technically sound but also socially responsible.

Finally, Aaron Bach, CTO of Liminal will discuss how organizations are navigating the challenges of data security and privacy when it comes to LLM use, including employee attitudes towards AI security policies, and the importance of creating tools that satisfy both security teams and end users.

Aaron Bach is a seasoned product development leader with over 15 years of experience in software, hardware, and innovation for Fortune 500 companies. He has led diverse teams and delivered impactful solutions, including overseeing venture concepts and patentable IP at FIS. Previously, Aaron was SVP of Software Development at Four Winds Interactive, where he played a key role in its acquisitions and platform development.

Thanks to NexusTek for sponsoring pizza! NexusTek provides consulting and managed Hybrid cloud solutions to reduce the cost and risk to AI development and operations. https://www.nexustek.com/