Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

Learn prompt engineering techniques to get better results from ChatGPT and other LLMs.

✏️ Course developed by @aniakubow

⭐️ Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (01:31) What is Prompt Engineering?
⌨️ (02:17) Introduction to AI
⌨️ (03:52) Why is Machine learning useful?
⌨️ (06:36) Linguistics
⌨️ (08:04) Language Models
⌨️ (14:35) Prompt Engineering Mindset
⌨️ (15:38) Using GPT-4
⌨️ (20:41) Best practices
⌨️ (31:20) Zero shot and few shot prompts
⌨️ (35:06) AI hallucinations
⌨️ (36:43) Vectors/text embeddings
⌨️ (40:28) Recap

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[aniakubow]

Hope you all enjoy this tutorial! Big love to the freeCodeCamp community!!

[kolbyhunt]

Prompt engineer tip. If you have a task just ask gpt to provide a full list of required info to help it properly understand the task. The best prompt engineer is chat gpt

[OHJLM]

Thankyou Ania! I didn't understand how important it is to have a pre-formatted prompt plan, almost like a mini project proposal!

[aanchaallllllll]

0:33: 💡 Learn about prompt engineering and its importance in maximizing productivity with large language models.
4:57: ! Using AI to generate engaging prompts for English learners to practice spoken English.
8:55: 🗣 Language models analyze sentences, generate predictions, and create well-crafted responses, making them useful in various applications.
13:06: 📚 Language models like GPT have revolutionized the understanding and generation of human language.
17:39: 📚 This video provides a quick introduction to using OpenAI and its API to create and delete chats.
22:10: ⏰ The importance of clear instructions and prompts in saving time and resources.
26:20: 💡 Adopting a persona in prompt engineering can help ensure that the language model's output is relevant, useful, and consistent with the needs and preferences of the target audience.
32:05: 💡 Zero-shot prompting allows models to perform tasks without explicit training examples, while few-shot prompting involves providing a small amount of training data.
37:33: 🔑 Text embedding is a technique used to represent textual information in a format that can be easily processed by algorithms, particularly deep learning models.
Recap by Tammy AI

[FHL]

Here are some extra smart tips on prompt engineering that are practical:

- Embrace the Socratic method: Instead of asking direct questions, break down your prompts into a series of leading questions that guide the model towards the desired output.

- Leverage few-shot learning: Provide a few examples of the desired input-output pairs before the actual prompt. This can significantly improve the model's understanding and performance.

- Employ recursive re-writing: Feed the model's output back into itself as a new prompt, allowing it to iteratively refine and improve its responses.

- Utilize prompt chaining: Break down complex tasks into a sequence of smaller prompts, where the output of one prompt becomes the input for the next.

- Explore prompt augmentation: Supplement your prompts with additional context, such as relevant background information, constraints, or examples of what not to do.

- Experiment with prompt ensembling: Combine the outputs of multiple prompts or models to create a more robust and diverse final output.

- Leverage prompt-based fine-tuning: Fine-tune language models on a small dataset of prompts and desired outputs, tailoring them for specific tasks or domains.

- Incorporate prompt-based retrieval: Use prompts to query and retrieve relevant information from external sources, effectively augmenting the model's knowledge.

- Explore prompt-based translation: Translate prompts into different languages or styles, potentially unlocking new perspectives or capabilities.

- Leverage prompt-based reasoning: Guide the model to perform multi-step reasoning or problem-solving by breaking down complex tasks into a series of prompts.

[urban-pixel]

Ok the embedding part is mind blowing!!!! 🤯 🤯 thanks!! 🙏

[yasir]

Don't let word "Engineering" dissuade you. Just simply learn skill to write effective prompt.

[DavidT-tmco]

I have liked, subscribed and turned on notification bell.
Thank you for the Prompt Engineering, ChatGPT and LLM Responses Tutorial delivered free of charge.

[emc]

Thanks for helping illuminate this topic more clearly!

[davidalex]

This is amazing, my favourite section of a computer

[leftovertech]

It is called Prompt "Engineering" purely for social reasons. As a long-time computer engineer, I can say with some confidence that many things in the IT world are named for the purpose of making the humans feel better. LOL

[peteagrawal]

Thank you Ania Kubow and Free Code Camp for this tutorial. This is probably the best introductory lesson I have come across. Even my wife, who is not technical at all, and my 9-year-old daughter, can understand now what prompt engineering is.

[boldkojak]

Young lady … you are amazing lecturer, alert and very consistent.
Precise definitions .. and organized ..💐 thank you

[pankajpandit]

I enjoyed the tutorial a lot, thank you for taking some time and making others understand the concept better.

[listen_learn_tz]

Wonderful video for conceptual understanding on how to manage interactions between humans and ai models. Nice.

[victorsmit]

Well presented and very useful, thank you.

[dianesmith-knowles]

Excellent! So well done. I'm now officially inspired! :)

[ankushalgudkar]

As someone with systems engineering and project engineering work experience, I found this video highly insightful! Thank you for making this video's valuable tips much more widely available to the general public. As a fresher in learning coding and AI, videos like this go a long way in helping us gain experience quickly and add value to the ecosystem. Please keep these coming!

[rongarza]

Great video, thanks. I kept thinking back to when I visited a border town in Mexico as a child on a Sunday. The town square had a band stand in the middle. Around the perimeter sat men with typewriters, ready to interpret letters workers wanted to send home. That was AI back then, one direction, out. This is AI now, one direction, in.

[abdulhamidmuktar]

Ooh, that's a cool and useful lesson. Prompt Engineering is undeniably a knowledge worth of investing and learning.