ChatGPT has been released for more than half a year, and the important role of large models in the development of artificial intelligence has been reflected. China's major academic teams, scientific research institutions, and technology companies have also launched various large-scale model projects to promote the application of large-scale models in various fields such as finance, transportation, and entertainment. At the same time, various underlying technologies, such as database technology, storage, cloud computing, etc., are also trying to iterate with the capabilities of AI.
In the future, in which direction will large-scale model technology research develop, and how will it empower thousands of industries? How should we embrace the new changes in it? In order to find the answer, HyperAI, together with Open Source China and WasmEdgeRuntime, jointly held the [Yuanchuanghui] Offline Technology Salon with the theme of "AI Large Model and Underlying Technology Exploration" , and invited experts from the industry and academia to share their insights on AI large models. Research results and practical experience with the underlying technology.
Event Details
[Topic] Exploration of AI Large Model and Underlying Technology
[Time] 14:00-18:00, August 26
【Location】 Floor 5, Building 12, Chuangye Street, Zhongguancun, Beijing
[Registration] Scan the QR code below to participate in the on-site discussion
Agenda
Introduction to lecturers and topics
Zhao Shenyang
—BentoML Software Engineer
Sharing Topic: OpenLLM: Practice of Open Source Large Language Model
Content introduction: sort out the challenges of large language models in production, introduce how to use OpenLLM and other tool chains to quickly build AI applications, and deploy different open source large models to the actual case of the production environment.
Ma Junkai
—Aliyun Intelligent Senior Technical Expert
Sharing Topic: Product Capability Improvement of Smart Storage Based on Large Models
Introduction: With the rapid development of Large Language Model (LLM), various large language models have shown excellent dialogue ability and task solving ability, providing a rich imagination space for various intelligent applications. Smart storage products are also actively embracing new technologies in the AI field, keeping up with the development of large models, combining with their own business, introducing "Tongyi Qianwen" large models, multi-modal models, etc., and launching intelligent document assistants, semantic search, content generation, etc. Functions, providing intelligent document capabilities such as document polishing, document continuation, document summary, tone rewriting, document translation, etc.; cross-modal search capabilities for documents and images. At the same time, combined with x-oss-process, it provides users with more convenient image processing and document editing methods.
Han Wenjuan
—Associate Professor, School of Computer and Information Technology, Beijing Jiaotong University
Sharing topic: Using large models to promote intelligent applications in the field of transportation
Introduction: With the development of artificial intelligence, the application of large models in various fields has gradually attracted attention. Professor Han Wenjuan will introduce the TransGPT large model developed by her team in the field of transportation. This is the first open-source large-scale traffic model in China. It has multiple functions such as traffic situation prediction, intelligent assistant, traffic safety education, and traffic planning. She will discuss in-depth the application of the model in the fields of intelligent mobility, traffic management, traffic safety, etc., and share the story behind the model development and technological innovation. This speech will bring you the latest research progress and practical application cases of large models in the field of transportation, and demonstrate the great potential of artificial intelligence in the field of transportation.
Yuan Zikun
—Director of Tiangong Large-scale Model Commercialization Products
Sharing Topic: Insights into AI Application Landing and Evolution Trends Based on Data Boundaries
Introduction: From the three modules of conditioned reflex, logical reasoning, and intelligent emergence, think about the landing and evolution trend of AI applications at this stage.
summer song
—WasmEdge Community Manager
Sharing topic: How to build LLM Agent in a serverless way
Introduction: Nowadays, large models are blooming everywhere, and the development and use of LLM agents are also in full swing. This speech will introduce several common LLM agent development methods, and demonstrate how to use serverless to build a knowledge base assistant.
Su Peng
— R&D Manager of Acson Vector Database
Sharing topic: innovative practice of intelligent operation and maintenance interaction
Introduction: With the advancement of science and technology and the continuous improvement of computing power, intelligent operation and maintenance has gradually become an important part of the modern IT field. Among them, the combination of large model, vector retrieval and database operation and maintenance provides us with an unprecedented new method of operation and maintenance. This sharing will focus on the combination and application of these three, and how to use them to improve operation and maintenance efficiency, reduce human errors, and bring better service experience to users.
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About Yuan Chuanghui
OSC Yuanchuang is hosted by the Open Source China Community (oschina.net), focusing on open source and innovative technology salons. It has been held continuously for 11 years since 2011, successfully held 93 sessions, covering 19 cities, and has far-reaching influence among the developer community.
Yuanchuang always adheres to the tenet of "freedom, openness, and sharing" , gathers the best technical resources and industry cases, talks to the best technology leaders, and brings the latest open source technology, cutting-edge technology perspective, and implementation practice to developers experience.
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