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meetups for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.

This meetup is sponsored by Zilliz.

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Unstructured Data Meetup Shanghai

Name: Unstructured Data Meetup Shanghai
Start: 2024-05-31T13:00:00.000+08:00
End: 2024-05-31T17:00:00.000+08:00
Location: Shanghai Wujiaochang Innovation and Entrepreneurship College

Unstructured Data Meetup

Shanghai Wujiaochang Innovation and Entrepreneurship College

Past Event

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About Event

Topic：Connecting your unstructured data with Generative AI
When：May 31, 2024 13:00-17:00 Beijing Time
Where：Shanghai Wujiaochang Innovation and Entrepreneurship College
Agenda:
- 13:00-14:10 Welcome/Networking/Registration
- 14:10-14:40 Qinyuan Cheng, Core Member of MOSS & OpenMOSS Team, Fudan University
- 14:40-15:10 Jack Li, Dev Advocate, Zilliz
- 15:10-15:40 Keting Chen, Data Infrastructure Engineer, Ant Group
- 15:40-16:00 Yiwen Kang, LangChain China Community Sponsor
- 16:00-17:00 Networking

Talk Details

Tech Talk 1: From MOSS to OpenMOSS: Building and Exploring Conversational Large Language Models
Speaker: Qinyuan Cheng
Abstract:

MOSS: How to Build Conversational Large Models
OpenMOSS: Continuous Exploration of Large Models: Scaling Laws, Alignment, Multimodality, and Interpretability

Tech Talk 2: Unveiling New Features in Milvus 2.4 & Introduction of Milvus Lite
Speaker: Jack Li
Abstract: GPU, multimodality, and RAG enhancement are the key highlights of Milvus version 2.4. This presentation will thoroughly unveil the new features of the latest Milvus 2.4. Additionally, the launch of a new version of Milvus Lite will bring a lighter, faster, and more user-friendly Milvus. Stay tuned!

Tech Talk 3: Exploring and Innovating with the AI-Native Data Application Development Framework DB-GPT
Speaker: Keting Chen
Abstract: With the arrival of the AIGC era, large language models like GPT are rapidly developing capabilities in natural language processing, multi-turn dialogue, and intent understanding. In the database field, enhancing the interaction of large models to provide users with reliable and secure data understanding and analysis remains a challenging task. Based on this, Ant Group has developed an AI-native data application development framework (DB-GPT), dedicated to simplifying the creation of large model applications around databases. This talk will focus on five core capabilities of the framework: Multi-Model Management (SMMF), Text2SQL Effect Optimization, RAG Framework and Optimization, Multi-Agents Framework Collaboration, and AWEL (Intelligent Agent Workflow Orchestration). Best practices and innovative explorations of DB-GPT within Ant Group and the external community will also be shared.

Tech Talk 4: My Attitude Towards AI and Thoughts on Entrepreneurship in 2024
Speaker: Yiwen Kang
Abstract: Discussing the changes in my attitude towards AI over the past year and sharing thoughts for AI entrepreneurs in 2024, such as: What should we learn? What products are planned? Understanding the future TO C TO B AI workflows, and more.

Location