First release! NVIDIA joins hands with Zilliz to kick off the first [Big Model Day] in 2024


First release in the new year!


NVIDIA and Zilliz are about to launch the first Large Model Day event. At that time, Zilliz Chief Open Source Evangelist Li Chenglong will share insights and best practices in large model application development with NVIDIA engineers, and explore the mysteries of cutting-edge technology!


This event aims to provide developers with practical guidance and promote the application of large models, and is especially tailored for entry-level developers of large models . The event adopts the form of online live broadcast, and each guest's speech time is 30 minutes, and will provide an in-depth explanation of the general knowledge and application of large models. After the speech, each person will reserve 15 minutes for a QA session, and developers can communicate with the guests online.


The theme event of "NVIDIA Big Model Day - "Big Models Are Not So Wide"" will be held from 19:30 to 21:00 on January 9, 2024. Everyone is welcome to sign up and iterate with the big models!



Peng Meiran


NVIDIA Developer Program Senior Solution Engineer, assists many NVIDIA Startup Acceleration Program members to explore, provide end-to-end AI computing acceleration solutions in multiple fields, and promote the implementation of solutions. And participated in the implementation of SDK recommendation system based on LLMs and RAG architecture, SDK update briefing tracking system, customized private intelligent AI assistant and other projects.

Li Chenglong


Chief open source evangelist of Zilliz, Milvus Committer, the world's most popular open source vector database. After joining Zilliz, he became active in the Milvus community and assisted thousands of open source users around the world to jointly explore AI solutions. For mainstream computer vision algorithms, Embedding algorithms, LLMs He has rich experience in application and RAG architecture, and has completed cases such as Milvus image search system and video retrieval system.


Click "Read the original text" or scan the QR code on the poster above to register.


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