Prompt Engineering, ChatGPT, and Generative LLM
Use ChatGPT effectively, engineer prompts, build RAG solutions, and fine‑tune open models with Hugging Face.
Get Course Info
Audience: Developers, data scientists, team leads, project managers
Duration: 3 days (Day 1 beginner, Days 2–3 intermediate)
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
Overview
OpenAI with ChatGPT is rapidly transforming industries, and HuggingFace offers the most popular library for Transformer‑based Deep‑Learning. This course introduces neural networks, OpenAI, ChatGPT4 usage, prompt‑engineering, building applications with private documents, and evaluating competitors via Hugging Face.
Objective
Use ChatGPT effectively, engineer prompts, build RAG solutions, and fine‑tune open models with Hugging Face.
What You Will Learn
- Correctly use ChatGPT out of the box
- Improve ChatGPT with prompts
- Enhance performance using Azure RAG
- Fine‑tune open models with Hugging Face
- Build applications with private documents
Course Details
Audience: Developers, data scientists, team leads, project managers
Duration: 3 days (Day 1 beginner, Days 2–3 intermediate)
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
- General familiarity with machine learning
- Programming knowledge
Setup: Zero‑install cloud lab • Laptop • Chrome browser
Detailed Outline
- Guidelines
- Iterative
- Summarizing
- Inferring
- Transforming
- Expanding
- Chatbot
- Token classification
- Translation
- Summarization
- Training a causal LM
- QA
- Transformers: encoders, decoders, seq2seq
- Bias and limitations
- Pipelines
- Models
- Tokenizers
- Processing data
- Trainer API / Keras
- Full training workflow
- Bing Chat
- Chatsonic
- Jasper Chat
- Google Bard AI
- Character AI
- YouChat
- OpenAI Playground
Ready to Get Started?
Contact us to learn more about this course and schedule your training.