Time Slot: Track 1 14:40-15:10 Language: English Speaker: Dr. Chung Ng | PCCW-HKT | Hong Kong
As modern businesses endeavor to improve efficiency and streamline operations, automation has taken center stage. This presentation will focus on how Langchain, in conjunction with Python, can automate complex tasks and foster significant process improvements.
The presentation will unfold a four-level approach, explaining how Langchain can be utilized in different scenarios, with varying degrees of complexity and requirements:
1. Pre-set Knowledge with Langchain: In the first level, we’ll discuss how to leverage Langchain’s pre-set knowledge for automating routine tasks. We will delve into its default capabilities and demonstrate how these can be harnessed effectively to drive automation.
2. Incorporating New Topics and Styles: Level two will demonstrate how to enrich Langchain’s performance by integrating new topics and styles into its knowledge base. This addition broadens the range of tasks Langchain can handle, making it a versatile tool for diverse automation needs.
3. Complex Automation with Multiple Steps: Moving on to the third level, we’ll examine how Langchain can manage multi-step tasks that require advanced logic and sequence. We’ll showcase examples of such tasks and how Langchain’s capabilities can be extended to tackle them.
4. Output Formatting and Automation Plug-ins: Lastly, we will focus on Langchain’s output management features. We’ll discuss how to customize output formats and integrate automation plug-ins, enhancing both the versatility and usability of Langchain-powered solutions.
This presentation aims to illustrate how the convergence of Langchain and Python can bring about significant automation benefits. Attendees will gain valuable insights into practical implementations of this methodology and how it can be leveraged to improve operational efficiency in their respective organizations.
Dr. Chung Ng
Dr. Chung is a SVP at Group CTO Office of the HKT/PCCW Group, where he’s responsible for leading the group’s product and technology roadmap and strategic development. He also represents the group as board members of Lynx Analytics and Bindo Labs.
Before HKT/PCCW, Chung contributed to the Big Data/AI strategy at Telstra as well as its international growth strategy. Prior to Telstra, Chung was an Associate Partner of Cluster Technology Limited which serves the Greater China market with professional services and solutions in high-performance computing, machine learning, big data, and public cloud.
In 2008, Chung joined McKinsey & Company in the Hong Kong office. He received his DPhil in Information Engineering from the University of Oxford and held the Croucher Foundation Scholarship to work toward his research degree in wireless ad-hoc networks. Chung also received BEng and MPhil in Information Engineering from the Chinese University of Hong Kong.