Prompt Engineering, ChatGPT, and Generative LLM

(C) Copyright Elephant Scale

May 14, 2023

Course Description

  • OpenAI with ChatGPT is eating the world with over a hundred million of users, and HuggingFace is the most popular library for Deep Learning, based on Transformer Neural Network, and containing inside Keras and PyTorch,
  • This course introduces the students to Neural Networks, OpenAI, and AI in general. Then it goes into ChatGPT4 and teaches how humans should use it. This is called prompts engineering.
  • Then it shows how to build applications on top of ChatGPT with the use of additional private company documents.
  • Finally, the students learn about the use of the HuggingFace library to evaluate and integrate ChatGPT competitors.

After the course, you will be able to do the following tasks

  • Correctly use ChatGPT out of the box.
  • Improve ChatGPT performance with “prompts.”
  • Further improve ChatGPT performance with machine-generated prompts and additional search services, such as Azure Retrieval-Augmented Generation (RAG)
  • Fine-tune open models with HuggingFace


  • Developers, data scientists, team leads, project managers

Skill Level

  • Beginner to intermediate


  • Three days
  • Can be broken into Beginner (day 1) to intermediate (days 2 and 3)


  • General familiarity with machine learning
  • Knowledge of a programming language


  • Lectures and hands on labs. (50% – 50%)

Lab environment

  • Zero Install: There is no need to install software on students’ machines!
  • A lab environment in the cloud will be provided for students.

Students will need the following

  • A reasonably modern laptop with unrestricted connection to the Internet. Laptops with overly restrictive VPNs or firewalls may not work properly.
    • A checklist to verify connectivity will be provided
  • Chrome browser

Detailed outline

Introduction to Prompt Engineering

  • Guidelines
  • Iterative
  • Summarizing
  • Inferring
  • Transforming
  • Expanding
  • Chatbot

Main NLP tasks

  • Token classification
  • Fine-tuning a masked language model
  • Translation
  • Summarization
  • Training a causal language model from scratch
  • Question answering
  • Mastering NLP

HuggingFace and Open Models

  • Transformers
  • Encoders
  • Decoders
  • Sequence to sequence
  • Bias and limitations
  • Pipeline
  • Models
  • Tokenizers
  • Putting it all together

Fine tuning a pretrained model

  • Processing the data
  • Fine-tuning a model with the Trainer API or Keras
  • A full training

ChatGPT competitors and derivatives

  • Bing Chat
  • Chatsonic
  • Jasper Chat
  • Google Bard AI
  • Character AI
  • YouChat
  • OpenAI Playground