Video course · 12 chapters · 42 min · certificate
Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
Ania Kubow's freeCodeCamp prompt engineering course: what prompt engineering is, AI and machine learning basics, linguistics, the history of language models from ELIZA to GPT, the prompt engineering mindset, using GPT-4 and tokens, best practices (clear instructions, personas, format), zero- and few-shot prompting, AI hallucinations and text embeddings.
What you'll learn
- Define prompt engineering and why it matters
- Explain AI, machine learning and language models
- Trace language models from ELIZA to GPT-4
- Write clear prompts with personas and formats
- Use zero-shot and few-shot prompting
- Recognise hallucinations and understand embeddings
Chapters
12 chapters · 41:36-
2:17
01Intro Members
Introduction: what is prompt engineering?
A new career.
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1:35
02AI Members
Introduction to AI
Not sentient.
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2:44
03Prompting Members
Why prompts matter
Shape the experience.
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1:28
04Language Members
Linguistics
Study of language.
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6:31
05History Members
Language models
ELIZA to GPT.
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1:03
06Mindset Members
Prompt engineering mindset
Get it right first time.
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5:03
07GPT-4 Members
Using GPT-4
Chats and tokens.
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10:39
08Best practices Members
Best practices
Clear, persona, format.
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3:46
09Shots Members
Zero-shot and few-shot prompts
Examples help.
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1:37
10Hallucinations Members
AI hallucinations
Confident errors.
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3:45
11Embeddings Members
Vectors and text embeddings
Meaning as numbers.
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1:08
12Wrap-up Members
Recap
Keep practising.
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