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UBDA Training Course: Foundations and Applications of Large Language Models

Training Course

Poster_UBDA Training Course_Foundations and Applications of Large Language Models_2 May

Summary

You are cordially invited to attend a training course consisting of two sessions on Large Language Models (LLMs). This course will cover both fundamental and advanced aspects of LLMs, offering participants a comprehensive understanding of these models' theory and practical applications.
 
In the first session, the course will introduce UBDA services, foundational LLM concepts, architecture exploration, pre-training methods, and practical demonstration.
 
The second session will dive into advanced applications, including Transformer implementation with TensorFlow and Keras, Retrieval Augmented Generation (RAG), and application development with LangChain. The session will conclude with discussions on future trends and applications of LLMs.
 
Participants are expected to have a basic understanding of Python.

 

Course

  Foundations and Applications of Large Language Models (Poster)

Date

 

2 May 2025

Venue  

HJ303

Session activities  

 
  •  Overview of UBDA Services and LLM Basics  
    • (first session: 10am – 12pm)
  • Advanced LLM Applications 
    • (second session: 2:00pm – 4:00pm)

Quota  

 

80 (PolyU Research Students and Staff, first-come-first-serve via online registration)

Registration  

-

Should you have any enquiries, please contact Dr Vincent Ng (vincent.ng.comp@polyu.edu.hk)or Dr Tarun Kulshrestha (tarun.kulshrestha@polyu.edu.hk)

*Successful registrants will receive a confirmation email on 24 Apr 2025.
 

 

 

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