Improving LLM Performance with Specialized Data

November 28th, 2023, 5:00-7:30 p.m. ET | NYC
Join us for an exciting panel discussion all about improving your LLM performance! We'll be chatting about the latest trends across predictive and generative AI – and specifically, how product and data science teams can use custom data to fine-tune their LLM to have more human-like, personalized and use-case specific responses. At this event, we'll dive into the process of specialization and how it can help you fine-tune your LLMs using company-specific data to achieve the best possible results.
#Happy Hour

For AI builders, including product managers, data scientists, CTOs,
and machine-learning engineers.

Ross Fadely
Leo Chiang
Chris Guess
Data, Strategy, and AI/ML Leader, Former Dow Jones, Former WSJ
Dir. Products, Data Science & Machine Learning, Warner Bros. Discovery
Lead Technologist, Duke Reporters' Lab
Nina Lopatina
Director of Data Science, Nurdle
Darren Oberst
CEO, Ai Bloks to the NYC
Our panelists will explore
Real-world examples of how specialized data has led to better customer experiences and ROI.
The common challenges that can cause issues with LLM performance, like context, specificity, and domain relevance.
Strategies for collecting, curating, and using specialized data to optimize genAI performance (it's not as complicated as it sounds!).
This event is an absolute must-attend for anyone who wants to improve their LLM performance and tap into the creative and practical possibilities of Generative AI. So what are you waiting for? Register now to secure your spot and stay ahead in the exciting world of LLMs!
The happy hour has limited space. Fill out the form to reserve your spot.