Everything from No-Code, through to fine-tuning & embedding with code examples in multiple programming languages.
Welcome to the Masterclass for GPT, DALL-E and ChatGPT.
Ever since OpenAI arrived on the scene, access to a trained AI has become accessible to everyone.
- GPT allows you to ask a chatbot to complete tasks, and to answer questions
- Fine-tuning allows you to change the way the AI responds
- Embedding allows you to use your own knowledge base
- Dall-E allows you to generate images from text
In this course, you will learn very practical skills for using GPT. The skills can be used in the OpenAI playground or in programming code.
The course is split into 6 major parts:
- Introduction and Prompt Engineering
- Writing code and calling the API
- Dall-E and Codex
- Fine-tuning
- Embedding
- Writing and managing Chatbots
PART 1: Introduction and Prompt Engineering
In this section, you will learn how to get started with GPT. We also explain, design and use different types of prompts. At the end of the prompt engineering section, we give you two recipes you can use to get consistent results.
We’ll see how GPT works, including:
- what tokens are
- high level overviews of GPT, Codex and Dall-E
- live examples of using the playground
- ways to improve prompts to get better results
- how to use templating to create reliable prompts
- how to use context to introduce new knowledge
This is already very practical.
We cover everything from “zero-shot” queries, through to multi-shot and advanced template prompts.
An entire section of the course is dedicated to creative writing for blogs, books and articles.
