LLM Workflows: From Automation to AI Agents (with Python)

Shaw Talebi ยท Intermediate ยท๐Ÿค– AI Agents & Automation ยท1y ago
๐Ÿค Work with me: https://aibuilder.academy/yt/Nm_mmRTpWLg ๐Ÿš€ Ship AI apps in weeks, not months: https://aibuilder.academy/courses/yt/Nm_mmRTpWLg This is the 3rd video in a series on AI agents. Here, I discuss how to design agentic workflows and share a concrete example of implementing an artificial virtual assistant using OpenAI's Agents SDK. ๐Ÿ“ฐ Blog: https://medium.com/@shawhin/llm-workflows-from-automation-to-ai-agents-a62f96a0f89a?sk=3f767e0aa800dc28079e06b33c2eca5e ๐Ÿ’ป Code: https://github.com/ShawhinT/YouTube-Blog/tree/main/agents/2-agentic-workflows โ–ถ๏ธ Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU02OKABBkbsQrYWmQfoZMH References [1] https://x.com/AndrewYNg/status/1801295202788983136?lang=en [2] https://www.anthropic.com/engineering/building-effective-agents [3] https://github.com/openai/openai-agents-python/tree/main/examples/agent_patterns [4] https://karpathy.medium.com/software-2-0-a64152b37c35 Intro - 0:00 Workflows - 0:25 LLM Workflows - 2:57 Design Patterns - 5:14 LLMs Aren't a Cure-all - 8:06 Example: Artificial Virutal Assistant - 13:12 Demo - 24:41
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1 biometricDashboard2 DEMO
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2 biometricDahboard3 DEMO
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3 Time Series, Signals, & the Fourier Transform | Introduction
Time Series, Signals, & the Fourier Transform | Introduction
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4 The Fast Fourier Transform | How does it (actually) work?
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5 The Wavelet Transform | Introduction & Example Code
The Wavelet Transform | Introduction & Example Code
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6 Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
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7 Independent Component Analysis (ICA) | EEG Analysis Example Code
Independent Component Analysis (ICA) | EEG Analysis Example Code
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8 Kmeans-based Blink Detecter DEMO
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9 Shit Happens, Stay Solution Oriented
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10 Why Conflict Is Good & How You Can Use It
Why Conflict Is Good & How You Can Use It
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11 Causality: An Introduction | How (naive) statistics can fail us
Causality: An Introduction | How (naive) statistics can fail us
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12 Causal Inference | Answering causal questions
Causal Inference | Answering causal questions
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13 Causal Discovery | Inferring causality from observational data
Causal Discovery | Inferring causality from observational data
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14 How to Be Antifragile | 7 Practical Tips
How to Be Antifragile | 7 Practical Tips
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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)
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16 Topological Data Analysis (TDA) | An introduction
Topological Data Analysis (TDA) | An introduction
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17 The Mapper Algorithm | Overview & Python Example Code
The Mapper Algorithm | Overview & Python Example Code
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18 Persistent Homology | Introduction & Python Example Code
Persistent Homology | Introduction & Python Example Code
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19 What Is Data Science & How To Start? | A Beginner's Guide
What Is Data Science & How To Start? | A Beginner's Guide
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20 How to do MORE with LESS - multikills
How to do MORE with LESS - multikills
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21 Causal Effects | An introduction
Causal Effects | An introduction
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22 Causal Effects via Propensity Scores | Introduction & Python Code
Causal Effects via Propensity Scores | Introduction & Python Code
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23 Causal Effects via the Do-operator | Overview & Example
Causal Effects via the Do-operator | Overview & Example
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24 Causal Effects via DAGs | How to Handle Unobserved Confounders
Causal Effects via DAGs | How to Handle Unobserved Confounders
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25 Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Smoothing Crypto Time Series with Wavelets | Real-world Data Project
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26 Causal Effects via Regression w/ Python Code
Causal Effects via Regression w/ Python Code
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27 5 Reasons Why Every Data Scientist Should Consider Freelancing
5 Reasons Why Every Data Scientist Should Consider Freelancing
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28 An Introduction to Decision Trees | Gini Impurity & Python Code
An Introduction to Decision Trees | Gini Impurity & Python Code
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29 10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
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30 Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Dimensionality Reduction & Segmentation with Decision Trees | Python Code
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31 How to Make a Data Science Portfolio With GitHub Pages (2025)
How to Make a Data Science Portfolio With GitHub Pages (2025)
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32 My $100,000+ Data Science Resume (what got me hired)
My $100,000+ Data Science Resume (what got me hired)
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33 How to Create a Custom Email Signature in Gmail (2025)
How to Create a Custom Email Signature in Gmail (2025)
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34 I Spent $675.92 Talking to Top Data Scientists on Upworkโ€”Hereโ€™s what I learned
I Spent $675.92 Talking to Top Data Scientists on Upworkโ€”Hereโ€™s what I learned
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35 Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
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36 A Practical Introduction to Large Language Models (LLMs)
A Practical Introduction to Large Language Models (LLMs)
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37 The OpenAI (Python) API | Introduction & Example Code
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38 The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
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39 Why I Quit My $150,000 Data Science Job
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40 Prompt Engineering: How to Trick AI into Solving Your Problems
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41 The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
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42 Fine-tuning Large Language Models (LLMs) | w/ Example Code
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43 How to Build an LLM from Scratch | An Overview
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44 I Have 90 Days to Make $10k/moโ€”Here's my plan
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45 I Spent $716.46 Talking to Data Scientists on Upworkโ€”Hereโ€™s what I learned.
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46 Pareto, Power Laws, and Fat Tails
Pareto, Power Laws, and Fat Tails
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47 Do NOT become an entrepreneur #entrepreneurship
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48 Detecting Power Laws in Real-world Data | w/ Python Code
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49 How Iโ€™d learn data analytics (if I had to start over in 2024) #dataanalytics
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50 4 Ways to Measure Fat Tails with Python (+ Example Code)
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51 Fine-tuning EXPLAINED in 40 sec #generativeai
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52 How Much YouTube Paid Me in My First 6 Months of Monetization (as a Data Science Creator)
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53 5 Questions Every Data Scientist Should Hardcode into Their Brain
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54 AI for Business: A (non-technical) introduction
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55 LLMs EXPLAINED in 60 seconds #ai
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56 3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
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57 What is #ai? โ€” Simply Explained
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58 QLoRAโ€”How to Fine-tune an LLM on a Single GPU (w/ Python Code)
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59 How to Improve LLMs with RAG (Overview + Python Code)
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60 Text Embeddings, Classification, and Semantic Search (w/ Python Code)
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