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README.md

Session Title: Harnessing LLMs for Chatbot Development

Welcome to the Harnessing LLMs for Chatbot Development session of the DevFest AI Workshop! This session will guide you through code generation with the Wechaty open-source SDK for building your first WhatsApp chatbot to automate your personal account actions (receive/send messages, group activities, etc.).

Session Overview

Instructor: Huan Li

Duration: 30 minutes

Objective:

  • Run your first ding-dong bot with your WhatsApp personal account without coding by yourself
  • Brainstorming a WhatsApp group game and then making it work without coding by yourself

By the end of this session, you will have a deeper understanding of code generation with LLM.

Prerequisites

  • A WhatsApp account (your personal account is good)
  • Basic knowledge of how to talk with LLM

Agenda

  1. Introduction

    • Overview of Wechaty concepts
    • Overview of LLM code generation task

  2. Hands-on Activity

    • Building a ding-dong bot without coding by yourself
    • Brainstorming a WhatsApp group game and then making it work without coding by yourself

  3. Q&A and Discussion

    • AMA

Instructions

Step 1: Clone the Workshop Repository

If you haven't cloned the repository already, run:

git clone https://github.com/[your-username]/devfest-ai-workshop.git
cd devfest-ai-workshop/sessions/session_9

Step 2: Set Up Environment

  • Activate your environment (if using Conda): 
    conda activate workshop_env
  • Install any necessary dependencies: 
    pip install -r requirements.txt

Step 3: Open the Jupyter Notebook

Navigate to the Jupyter notebook for this session:

  1. Launch Jupyter Notebook: 
    jupyter notebook
  2. Open the file session_9.ipynb.

Step 4: Complete the Hands-on Exercise

Follow the instructions in the notebook for each part of the exercise:

  • Exercise 1: [Brief description, e.g., “Load and preprocess data for building a chatbot.”]
  • Exercise 2: [Brief description, e.g., “Use assistant-ui to add human feedback capabilities.”]
  • Exercise 3: [Brief description, e.g., “Evaluate chatbot performance with human-in-the-loop inputs.”]

Additional Resources

Solutions

If you need help with any part of the session, refer to the solution file in the solutions folder.

Contact

If you have questions during the workshop, please reach out to [Instructor’s Name] or open an issue in the repository.

Happy coding!