Hear from a distinguished panel of Kaggle Grandmasters and experts in computer vision, large language models (LLMs), and data science competitions as they shed light on best practices in AI and the competitive landscape.

Topics include:

▫️ LLM optimization: Learn how to unlock strategies for faster, accurate inference of LLMs and recommender systems, and hear about strategies that won one of the biggest recsys challenges.

▫️ Computer vision: Discover the tools and techniques that top experts are using today.

▫️ Competitive AI: Grain insights into the strategies that lead to top performance in AI challenges.

Panelists:
▫️ Jiwei Liu, Senior Data Scientist, NVIDIA
▫️ Kazuki Onodera, Senior Deep Learning Data Scientist, NVIDIA
▫️ Chris Deotte, Senior Data Scientist, NVIDIA
▫️ Laura Leal-Taixe, Senior Research Manager, NVIDIA
▫️ David Austin, Principal Data Scientist, NVIDIA

Explore more GTC 2024 sessions like this on NVIDIA On-Demand: https://nvda.ws/3U33qo7
Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F

Original GTC 2024 Session: Insights from Kaggle Grandmasters and Experts on Competitive AI and LLM Frontiers [S62792]

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