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Using Generative AI in Technical Writing
Introduction
Introduction (0:56)
ChatGPT and AI Basics
What do the buzzwords mean? (18:19)
Using ChatGPT and similar tools - Software and Websites (15:30)
Prompt Engineering (17:23)
Why use generative AI?
Why use generative AI? (5:37)
The limitations of Large Language Models (LLMs) and AI systems (7:48)
Data security (10:09)
Legal considerations (2:59)
Quiz
Section summary
Developing Content with AI Support
A framework for using generative AI (2:29)
Using AI during the research stage of a documentation project (16:26)
Defining the goals and scope of a project with AI support (2:11)
Managing and automating a documentation project with AI support (52:35)
Developing the information model (6:29)
Writing the content (13:53)
AI enabled authoring tools (15:57)
About the temperature and top_p settings (4:30)
Reviewing content (10:43)
Maintaining your content (12:05)
Section summary
Quiz
Publishing - Creating LLMs, enhanced search, and chatbots
Publishing to chatbots and LLMs - Introduction (4:15)
Collecting the data to be used by a LLM or chatbot (7:31)
Creating a chatbot - The easy way (RAG) (42:03)
Using OpenAI GPTs chatbots (11:02)
Creating a chatbot - The more complex way (25:10)
The other type of chatbots (9:38)
AI and metrics (12:21)
AI and video walkthroughs (9:38)
Quiz
Advanced techniques
Using custom profiles in ChatGPT (5:35)
The automated AI agent prompt (5:08)
Using ChatGPT plugins
Useful Chrome extensions
Inserting variable information into a prompt (14:47)
Adding user information and content from a repository into prompts (5:26)
Connecting chatbots and LLMs to data stored in an API
Open Interpreter (1:30)
Personalised learning techniques
Your project
Exercise – The final project
News and Updates
News - 2024
News - 2023
Summary
Summary of Course Topics (1:59)
Action plans
Feedback form
Course Resources for Further Learning
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Connecting chatbots and LLMs to data stored in an API
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