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1
How to Work and Compound with AI
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2
2025 Year in Review
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3
Product Evals in Three Simple Steps
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4
Advice for New Principal Tech ICs (i.e., Notes to Myself)
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5
Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs
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6
Evaluating Long-Context Question & Answer Systems
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7
AI Engineer 2025 - Improving RecSys & Search with LLM techniques
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8
Exceptional Leadership: Some Qualities, Behaviors, and Styles
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9
Building News Agents for Daily News Recaps with MCP, Q, and tmux
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10
An LLM-as-Judge Won't Save The Product—Fixing Your Process Will
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11
Frequently Asked Questions about My Writing Process
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12
NVIDIA GTC 2025 - Building LLM-Powered Applications
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13
Improving Recommendation Systems & Search in the Age of LLMs
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14
Building AI Reading Club: Features & Behind the Scenes
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15
2024 Year in Review
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16
Seemingly Paradoxical Rules of Writing
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17
How to Run a Weekly Paper Club (and Build a Learning Community)
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18
My Minimal MacBook Pro Setup Guide
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19
39 Lessons on Building ML Systems, Scaling, Execution, and More
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20
AlignEval: Building an App to Make Evals Easy, Fun, and Automated
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21
Weights & Biases LLM-Evaluator Hackathon - Hackathon Judge
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22
Building the Same App Using Various Web Frameworks
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23
Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
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24
How to Interview and Hire ML/AI Engineers
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25
AI Engineer 2024 Keynote - What We Learned from a Year of LLMs
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26
Netflix PRS 2024 - Applying LLMs to Recommendation Experiences
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27
Prompting Fundamentals and How to Apply them Effectively
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28
What We've Learned From A Year of Building with LLMs
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29
Building an AI Coach to Help Tame My Monkey Mind
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30
Task-Specific LLM Evals that Do & Don't Work
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31
Don't Mock Machine Learning Models In Unit Tests
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32
How to Generate and Use Synthetic Data for Finetuning
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33
Language Modeling Reading List (to Start Your Paper Club)
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34
2023 Year in Review
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35
Push Notifications: What to Push, What Not to Push, and How Often
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36
Out-of-Domain Finetuning to Bootstrap Hallucination Detection
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37
Reflections on AI Engineer Summit 2023
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38
AI Engineer 2023 Keynote - Building Blocks for LLM Systems
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39
Evaluation & Hallucination Detection for Abstractive Summaries
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40
How to Match LLM Patterns to Problems
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41
Patterns for Building LLM-based Systems & Products
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42
Obsidian-Copilot: An Assistant for Writing & Reflecting
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43
Some Intuition on Attention and the Transformer
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44
Open-LLMs - A list of LLMs for Commercial Use
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45
Interacting with LLMs with Minimal Chat
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46
More Design Patterns For Machine Learning Systems
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47
Raspberry-LLM - Making My Raspberry Pico a Little Smarter
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48
Experimenting with LLMs to Research, Reflect, and Plan
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49
LLM-powered Biographies
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50
How to Write Data Labeling/Annotation Guidelines
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51
Content Moderation & Fraud Detection - Patterns in Industry
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52
Mechanisms for Effective Technical Teams
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53
Mechanisms for Effective Machine Learning Projects
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54
Goodbye Roam Research, Hello Obsidian
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55
What To Do If Dependency Teams Can’t Help
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56
2022 in Review & 2023 Goals
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57
Autoencoders and Diffusers: A Brief Comparison
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58
Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
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59
RecSys 2022: Recap, Favorite Papers, and Lessons
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60
RecSys 2022 Keynote - Is the Juice Worth the Squeeze?
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61
Writing Robust Tests for Data & Machine Learning Pipelines
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62
Simplicity is An Advantage but Sadly Complexity Sells Better
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63
Uncommon Uses of Python in Commonly Used Libraries
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64
Why You Should Write Weekly 15-5s
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65
Design Patterns in Machine Learning Code and Systems
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66
What I Wish I Knew About Onboarding Effectively
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67
Bandits for Recommender Systems
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68
How to Measure and Mitigate Position Bias
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69
Counterfactual Evaluation for Recommendation Systems
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70
Traversing High-Level Intent and Low-Level Requirements
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71
Data Science Project Quick-Start
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72
Mailbag: How to Define a Data Team's Vision and Roadmap
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73
Red Flags to Look Out for When Joining a Data Team
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74
How to Keep Learning about Machine Learning
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75
The Data Scientist Show - Building end-to-end ML systems
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76
2021 Year in Review
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77
Informal Mentors Grew into ApplyingML.com!
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78
5 Lessons I Learned from Writing Online (Guest post by Susan Shu)
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What I Learned from Writing Online - For Fellow Non-Writers
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80
RecSys 2021 - Papers and Talks to Chew on
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81
The First Rule of Machine Learning: Start without Machine Learning
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82
MLOps Community - System Design for RecSys & Search
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83
Reinforcement Learning for Recommendations and Search
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84
Amazon Science - Eugene Yan and the Art of Writing about Science
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85
Bootstrapping Labels via ___ Supervision & Human-In-The-Loop
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86
Mailbag: How to Bootstrap Labels for Relevant Docs in Search
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87
SF Big Analytics - System Design for RecSys & Search
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88
Influencing without Authority for Data Scientists
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89
System Design for Recommendations and Search
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90
Patterns for Personalization in Recommendations and Search
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91
Towards Data Science - Author Spotlight with Eugene Yan
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92
The Metagame of Applying Machine Learning
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93
Search: Query Matching via Lexical, Graph, and Embedding Methods
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94
My Impostor Syndrome Stories (Guest Post by Susan Shu)
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How to Live with Chronic Imposter Syndrome
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96
Planning Your Career: Values and Superpowers
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97
Bukalapak - Fireside Chat with the Data Science team
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98
TalkPython - What ML can Teach Us About Life
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99
Choosing Problems in Data Science and Machine Learning
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100
Seven Habits that Shaped My Last Decade
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