Prompt Engineering: How to Trick AI into Solving Your Problems

Shaw Talebi · Beginner ·🧠 Large Language Models ·2y ago
Skills: Prompt Craft90%

Key Takeaways

Explores Prompt Engineering techniques using LangChain to trick AI into solving problems

Original Description

🤝 Work with me: https://aibuilder.academy/yt/0cf7vzM_dZ0 🚀 Ship AI apps in weeks, not months: https://aibuilder.academy/courses/yt/0cf7vzM_dZ0 This is the 4th video in a series on using large language models (LLMs) in practice. Here, I review Prompt Engineering, 7 prompting tricks, and walk through example code that uses LangChain to build an AI application. ▶️ Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0 📰 Read more: https://medium.com/towards-data-science/prompt-engineering-how-to-trick-ai-into-solving-your-problems-7ce1ed3b553f?sk=c92e4bb4b026bdc263f01a9310c8ec11 💻 Example code: https://github.com/ShawhinT/YouTube-Blog/tree/main/LLMs/langchain-example References [1] arXiv:2302.11382 [cs.SE] [2] arXiv:2106.09685 [cs.CL] [3] State of GPT by Andrej Karpathy at Microsoft Build 2023 [4] arXiv:2206.07682 [cs.CL] [5] ChatGPT Prompt Engineering for Developers by deeplearning.ai [6] arXiv:2005.14165 [cs.CL] [7] arXiv:2201.11903 [cs.CL] [8] arXiv:2210.03493 [cs.CL] Intro - 0:00 Agenda - 1:23 What is Prompt Engineering? - 1:52 Two Levels of Prompt Engineering - 4:31 Building AI Apps w/ Prompt Engineering - 5:41 7 Tricks for Prompt Engineering - 9:43 Trick 1: Be Descriptive - 12:00 Trick 2: Give Examples - 13:31 Trick 3: Use Structured Text - 15:13 Trick 4: Chain of Thought - 17:00 Trick 5: Chatbot Personas - 18:31 Trick 6: Flipped Approach - 19:55 Trick 7: Reflect, Review, and Refine - 21:24 Example Code: Automatic Grader with LangChain - 22:39 Limitations - 28:19
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Shaw Talebi · Shaw Talebi · 40 of 60

1 biometricDashboard2 DEMO
biometricDashboard2 DEMO
Shaw Talebi
2 biometricDahboard3 DEMO
biometricDahboard3 DEMO
Shaw Talebi
3 Time Series, Signals, & the Fourier Transform | Introduction
Time Series, Signals, & the Fourier Transform | Introduction
Shaw Talebi
4 The Fast Fourier Transform | How does it (actually) work?
The Fast Fourier Transform | How does it (actually) work?
Shaw Talebi
5 The Wavelet Transform | Introduction & Example Code
The Wavelet Transform | Introduction & Example Code
Shaw Talebi
6 Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Shaw Talebi
7 Independent Component Analysis (ICA) | EEG Analysis Example Code
Independent Component Analysis (ICA) | EEG Analysis Example Code
Shaw Talebi
8 Kmeans-based Blink Detecter DEMO
Kmeans-based Blink Detecter DEMO
Shaw Talebi
9 Shit Happens, Stay Solution Oriented
Shit Happens, Stay Solution Oriented
Shaw Talebi
10 Why Conflict Is Good & How You Can Use It
Why Conflict Is Good & How You Can Use It
Shaw Talebi
11 Causality: An Introduction | How (naive) statistics can fail us
Causality: An Introduction | How (naive) statistics can fail us
Shaw Talebi
12 Causal Inference | Answering causal questions
Causal Inference | Answering causal questions
Shaw Talebi
13 Causal Discovery | Inferring causality from observational data
Causal Discovery | Inferring causality from observational data
Shaw Talebi
14 How to Be Antifragile | 7 Practical Tips
How to Be Antifragile | 7 Practical Tips
Shaw Talebi
15 Multi-kills: How to Do More With Less (no, not by multi-tasking)
Multi-kills: How to Do More With Less (no, not by multi-tasking)
Shaw Talebi
16 Topological Data Analysis (TDA) | An introduction
Topological Data Analysis (TDA) | An introduction
Shaw Talebi
17 The Mapper Algorithm | Overview & Python Example Code
The Mapper Algorithm | Overview & Python Example Code
Shaw Talebi
18 Persistent Homology | Introduction & Python Example Code
Persistent Homology | Introduction & Python Example Code
Shaw Talebi
19 What Is Data Science & How To Start? | A Beginner's Guide
What Is Data Science & How To Start? | A Beginner's Guide
Shaw Talebi
20 How to do MORE with LESS - multikills
How to do MORE with LESS - multikills
Shaw Talebi
21 Causal Effects | An introduction
Causal Effects | An introduction
Shaw Talebi
22 Causal Effects via Propensity Scores | Introduction & Python Code
Causal Effects via Propensity Scores | Introduction & Python Code
Shaw Talebi
23 Causal Effects via the Do-operator | Overview & Example
Causal Effects via the Do-operator | Overview & Example
Shaw Talebi
24 Causal Effects via DAGs | How to Handle Unobserved Confounders
Causal Effects via DAGs | How to Handle Unobserved Confounders
Shaw Talebi
25 Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Shaw Talebi
26 Causal Effects via Regression w/ Python Code
Causal Effects via Regression w/ Python Code
Shaw Talebi
27 5 Reasons Why Every Data Scientist Should Consider Freelancing
5 Reasons Why Every Data Scientist Should Consider Freelancing
Shaw Talebi
28 An Introduction to Decision Trees | Gini Impurity & Python Code
An Introduction to Decision Trees | Gini Impurity & Python Code
Shaw Talebi
29 10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
Shaw Talebi
30 Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Shaw Talebi
31 How to Make a Data Science Portfolio With GitHub Pages (2025)
How to Make a Data Science Portfolio With GitHub Pages (2025)
Shaw Talebi
32 My $100,000+ Data Science Resume (what got me hired)
My $100,000+ Data Science Resume (what got me hired)
Shaw Talebi
33 How to Create a Custom Email Signature in Gmail (2025)
How to Create a Custom Email Signature in Gmail (2025)
Shaw Talebi
34 I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
Shaw Talebi
35 Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
Shaw Talebi
36 A Practical Introduction to Large Language Models (LLMs)
A Practical Introduction to Large Language Models (LLMs)
Shaw Talebi
37 The OpenAI (Python) API | Introduction & Example Code
The OpenAI (Python) API | Introduction & Example Code
Shaw Talebi
38 The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
Shaw Talebi
39 Why I Quit My $150,000 Data Science Job
Why I Quit My $150,000 Data Science Job
Shaw Talebi
Prompt Engineering: How to Trick AI into Solving Your Problems
Prompt Engineering: How to Trick AI into Solving Your Problems
Shaw Talebi
41 The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
Shaw Talebi
42 Fine-tuning Large Language Models (LLMs) | w/ Example Code
Fine-tuning Large Language Models (LLMs) | w/ Example Code
Shaw Talebi
43 How to Build an LLM from Scratch | An Overview
How to Build an LLM from Scratch | An Overview
Shaw Talebi
44 I Have 90 Days to Make $10k/mo—Here's my plan
I Have 90 Days to Make $10k/mo—Here's my plan
Shaw Talebi
45 I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
Shaw Talebi
46 Pareto, Power Laws, and Fat Tails
Pareto, Power Laws, and Fat Tails
Shaw Talebi
47 Do NOT become an entrepreneur #entrepreneurship
Do NOT become an entrepreneur #entrepreneurship
Shaw Talebi
48 Detecting Power Laws in Real-world Data | w/ Python Code
Detecting Power Laws in Real-world Data | w/ Python Code
Shaw Talebi
49 How I’d learn data analytics (if I had to start over in 2024) #dataanalytics
How I’d learn data analytics (if I had to start over in 2024) #dataanalytics
Shaw Talebi
50 4 Ways to Measure Fat Tails with Python (+ Example Code)
4 Ways to Measure Fat Tails with Python (+ Example Code)
Shaw Talebi
51 Fine-tuning EXPLAINED in 40 sec #generativeai
Fine-tuning EXPLAINED in 40 sec #generativeai
Shaw Talebi
52 How Much YouTube Paid Me in My First 6 Months of Monetization (as a Data Science Creator)
How Much YouTube Paid Me in My First 6 Months of Monetization (as a Data Science Creator)
Shaw Talebi
53 5 Questions Every Data Scientist Should Hardcode into Their Brain
5 Questions Every Data Scientist Should Hardcode into Their Brain
Shaw Talebi
54 AI for Business: A (non-technical) introduction
AI for Business: A (non-technical) introduction
Shaw Talebi
55 LLMs EXPLAINED in 60 seconds #ai
LLMs EXPLAINED in 60 seconds #ai
Shaw Talebi
56 3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
Shaw Talebi
57 What is #ai? — Simply Explained
What is #ai? — Simply Explained
Shaw Talebi
58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
Shaw Talebi
59 How to Improve LLMs with RAG (Overview + Python Code)
How to Improve LLMs with RAG (Overview + Python Code)
Shaw Talebi
60 Text Embeddings, Classification, and Semantic Search (w/ Python Code)
Text Embeddings, Classification, and Semantic Search (w/ Python Code)
Shaw Talebi

Related AI Lessons

Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →