Course Outline
Module 01 |
Introduction to Prompting and ChatGPT |
1.1 |
Basics of Prompting - Prompt Structure & Prompt Styles |
1.2 |
Pitfalls of LLM Model |
1.3 |
Open AI Models – Definition & Types |
1.4 |
Need & Working ChatGPT |
1.5 |
ChatGPT Capabilities |
1.6 |
Key Concepts of GPT-3.5 |
1.7 |
Demo: Account Creation (PaaS / SaaS) |
Module 02 |
Applications of Effective Prompting using ChatGPT |
2.1 |
Daily Tasks - Summary Generation, Proofreading, Language Translation, Email Writing, Blog Writing, Cold Sales Email, etc. |
2.2 |
Technical Tasks – Excel Formula Creation, Code Writing, Code Debugging, etc. |
2.3 |
Creativity Tasks – Headline/Tagline Creation, Content Creation, Blog Writing, etc. |
Module 03 |
Different OpenAI Applications |
3.1 |
GPT-3.5 Playground – Fine-Tuning of ChatGPT |
3.2 |
DALL.E 2 – Image Creation / Image Editing |
3.3 |
Codex – Natural Language to Animation Creation |
Module 04 |
Techniques of Image Prompting |
4.1 |
Need for Image Prompting |
4.2 |
Advanced Techniques - Style Modifiers, Quality Booster, Repetition, Weighted Terms, Fix Deformed Generations, etc. |
4.3 |
Use Cases - DALLE.2, Stable Diffusion & Midjourney |
Module 05 |
Enhancing Prompt Reliability |
5.1 |
Promote Debiasing & Ensemble Learning |
5.2 |
Transparency & Privacy Concerns |
5.3 |
Use Cases of Prompt Reliability |
Requirements
1. Python programming: Being proficient in Python is important since most deep learning libraries, like PyTorch and TensorFlow, use Python as the primary programming language.
2. Machine learning: Familiarity with basic machine learning concepts, techniques, and algorithms can help in understanding the foundations of ChatGPT.
3. Deep learning: Understanding neural networks, particularly recurrent neural networks (RNNs) and transformers, can help with fine-tuning and managing models like GPT.
4. Natural language processing (NLP): Familiarize yourself with common NLP techniques and libraries like NLTK and Spacy and understand context generation and text generation algorithms.
5. Reinforcement learning: GPT-3 involves reinforcement learning from human feedback, so understanding the basics of reinforcement learning and reward systems is useful.
Additional experience with cloud platforms like Google Cloud, Microsoft Azure or AWS and the basics of data storage, manipulation, and processing (SQL, pandas, NumPy) can also help when working with large datasets and model deployment.
Testimonials
There was a lot of information and a lot of real world examples that helped to better explain the content from the optaplanner userguide. If we ever had issues understanding something or wanted further information into certain topics he was happy to look into it and get back to us after a break or the following lecture. The option to focus in on areas we were more interested in was super useful.
Exel Computer Systems plc
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
Terry Strachan - Exel Computer Systems plc
The discussions to broaden our horizons
FAB banak Egypt
The course is very interesting being the main focus nowdays
mohamed taher - FAB banak Egypt
Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course
Mohamed Ghowaiba - FAB banak Egypt
Helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Learning new language.
FAB banak Egypt
Los ejemplos que nos ponía.
JONATHAN MARIANO, si
los experimentos
JONATHAN MARIANO, si
Los ejercicios y ejemplos expuestos.
Marcos - JONATHAN MARIANO, si
Los temas de Machine Lerning.
Víctor Edgar - JONATHAN MARIANO, si
La actitud del.profe
Ivonne Guadalupe Avendaño Hernandez - JONATHAN MARIANO, si
Los conceptos enseñados fueron claros, prácticos y ayudan mucho en hacerse una idea de como utilizar este tema de IA & ML
Miguel - JONATHAN MARIANO, si
La experiencia y conocimientos del instructor.
SERGIO BRAVO - JONATHAN MARIANO, si
Quizá algo de practica.
Hilario García - JONATHAN MARIANO, si
uno de las practicas
JONATHAN MARIANO, si
El conocimiento y manejo del tema del instructor
Zaira N. - JONATHAN MARIANO, si
lo innovador porque es algo que ya lo estamos viviendo.
jesus isaias - JONATHAN MARIANO, si
A lot of exercises and chances to test different features. Good introduction to Azure AI applications.
EY GDS
Exercises & hands-on labs!