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Is the Juice Worth the Squeeze?", "url": "https://eugeneyan.com//speaking/recsys2022-keynote/", "published_at": "2022-09-23T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c2c7c2ae", "title": "Writing Robust Tests for Data & Machine Learning Pipelines", "url": "https://eugeneyan.com//writing/testing-pipelines/", "published_at": "2022-09-04T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c3878690", "title": "Simplicity is An Advantage but Sadly Complexity Sells Better", "url": "https://eugeneyan.com//writing/simplicity/", "published_at": "2022-08-14T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c3b0a5ba", "title": "Uncommon Uses of Python in Commonly Used Libraries", "url": "https://eugeneyan.com//writing/uncommon-python/", "published_at": "2022-07-31T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c45060a4", "title": "Why You Should Write Weekly 15-5s", "url": "https://eugeneyan.com//writing/15-5/", "published_at": "2022-06-26T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c52f15f6", "title": "Design Patterns in Machine Learning Code and Systems", "url": "https://eugeneyan.com//writing/design-patterns/", "published_at": "2022-06-12T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c53b4dca", "title": "What I Wish I Knew About Onboarding Effectively", "url": "https://eugeneyan.com//writing/onboarding/", "published_at": "2022-05-22T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c6394885", "title": "Bandits for Recommender Systems", "url": "https://eugeneyan.com//writing/bandits/", "published_at": "2022-05-08T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c6afe969", "title": "How to Measure and Mitigate Position Bias", "url": "https://eugeneyan.com//writing/position-bias/", "published_at": "2022-04-17T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c75b500f", "title": "Counterfactual Evaluation for Recommendation Systems", "url": "https://eugeneyan.com//writing/counterfactual-evaluation/", "published_at": "2022-04-10T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c77bc9f6", "title": "Traversing High-Level Intent and Low-Level Requirements", "url": "https://eugeneyan.com//writing/intent-vs-requirements/", "published_at": "2022-03-20T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c814a40d", "title": "Data Science Project Quick-Start", "url": "https://eugeneyan.com//writing/project-quick-start/", "published_at": "2022-03-06T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c8828795", "title": "Mailbag: How to Define a Data Team's Vision and Roadmap", "url": "https://eugeneyan.com//writing/becoming-a-data-leader/", "published_at": "2022-02-18T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88c9797179", "title": "Red Flags to Look Out for When Joining a Data Team", "url": "https://eugeneyan.com//writing/red-flags/", "published_at": "2022-02-13T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88ca1f3afa", "title": "How to Keep Learning about Machine Learning", "url": "https://eugeneyan.com//writing/how-to-keep-learning/", "published_at": "2022-01-19T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88ca417db9", "title": "The Data Scientist Show - Building end-to-end ML systems", "url": "https://eugeneyan.com//speaking/data-science-show-eugene-yan/", "published_at": "2021-12-02T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cb1fa06b", "title": "2021 Year in Review", "url": "https://eugeneyan.com//writing/2021-year-in-review/", "published_at": "2021-11-28T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cbe6e771", "title": "Informal Mentors Grew into ApplyingML.com!", "url": "https://eugeneyan.com//writing/applyingml/", "published_at": "2021-11-25T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cc11b39b", "title": "5 Lessons I Learned from Writing Online (Guest post by Susan Shu)", "url": "https://eugeneyan.com//writing/what-i-learned-from-writing-online-susan-shu/", "published_at": "2021-11-07T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cc127558", "title": "What I Learned from Writing Online - For Fellow Non-Writers", "url": "https://eugeneyan.com//writing/what-i-learned-from-writing-online/", "published_at": "2021-10-17T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88ccbd3de1", "title": "RecSys 2021 - Papers and Talks to Chew on", "url": "https://eugeneyan.com//writing/recsys2021/", "published_at": "2021-10-03T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cce2b6e8", "title": "The First Rule of Machine Learning: Start without Machine Learning", "url": "https://eugeneyan.com//writing/first-rule-of-ml/", "published_at": "2021-09-19T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cce76c76", "title": "MLOps Community - System Design for RecSys & Search", "url": "https://eugeneyan.com//speaking/mlops-community-recsys/", "published_at": "2021-09-15T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cd7c2164", "title": "Reinforcement Learning for Recommendations and Search", "url": "https://eugeneyan.com//writing/reinforcement-learning-for-recsys-and-search/", "published_at": "2021-09-05T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cdbdc8b1", "title": "Amazon Science - Eugene Yan and the Art of Writing about Science", "url": "https://eugeneyan.com//speaking/amazon-science-feature/", "published_at": "2021-08-02T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88ce56ca5a", "title": "Bootstrapping Labels via ___ Supervision & Human-In-The-Loop", "url": "https://eugeneyan.com//writing/bootstrapping-data-labels/", "published_at": "2021-08-01T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88cf25b5aa", "title": "Mailbag: How to Bootstrap Labels for Relevant Docs in Search", "url": "https://eugeneyan.com//writing/mailbag-bootstrap-relevant-docs/", "published_at": "2021-07-20T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d003f4c7", "title": "SF Big Analytics - System Design for RecSys & Search", "url": "https://eugeneyan.com//speaking/sf-data-meetup-recsys/", "published_at": "2021-07-13T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d09ca37c", "title": "Influencing without Authority for Data Scientists", "url": "https://eugeneyan.com//writing/influencing-without-authority/", "published_at": "2021-07-04T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d15b0e83", "title": "System Design for Recommendations and Search", "url": "https://eugeneyan.com//writing/system-design-for-discovery/", "published_at": "2021-06-27T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d23c537d", "title": "Patterns for Personalization in Recommendations and Search", "url": "https://eugeneyan.com//writing/patterns-for-personalization/", "published_at": "2021-06-13T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d26c9c74", "title": "Towards Data Science - Author Spotlight with Eugene Yan", "url": "https://eugeneyan.com//speaking/tds-author-spotlight/", "published_at": "2021-06-02T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d32511e5", "title": "The Metagame of Applying Machine Learning", "url": "https://eugeneyan.com//writing/machine-learning-metagame/", "published_at": "2021-05-02T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d41b4185", "title": "Search: Query Matching via Lexical, Graph, and Embedding Methods", "url": "https://eugeneyan.com//writing/search-query-matching/", "published_at": "2021-04-25T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d42f8be4", "title": "My Impostor Syndrome Stories (Guest Post by Susan Shu)", "url": "https://eugeneyan.com//writing/imposter-syndrome-susan/", "published_at": "2021-04-18T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d440a784", "title": "How to Live with Chronic Imposter Syndrome", "url": "https://eugeneyan.com//writing/imposter-syndrome/", "published_at": "2021-04-11T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d4c16d7e", "title": "Planning Your Career: Values and Superpowers", "url": "https://eugeneyan.com//writing/values-and-superpowers/", "published_at": "2021-04-04T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d5886738", "title": "Bukalapak - Fireside Chat with the Data Science team", "url": "https://eugeneyan.com//speaking/bukalapak-fireside/", "published_at": "2021-03-28T00:00:00+00:00" }, { "id": "01a07d5d-6c76-722a-b252-5d88d62ea082", "title": "TalkPython - What ML can Teach Us About Life", "url": "https://eugeneyan.com//speaking/talk-python/", "published_at": "2021-03-26T00:00:00+00:00" } ] posts Claim your blog

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Eugene Yan

eugeneyan.com

2026

Patterns for Building Cybersecurity Evals original ↗

21 Jun 2026

Using LLMs to Secure Source Code original ↗

27 May 2026

How to Work and Compound with AI original ↗

3 May 2026

2025

2025 Year in Review original ↗

14 Dec 2025

Product Evals in Three Simple Steps original ↗

23 Nov 2025

Advice for New Principal Tech ICs (i.e., Notes to Myself)original ↗

19 Oct 2025

Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs original ↗

14 Sept 2025

Evaluating Long-Context Question & Answer Systems original ↗

22 Jun 2025

AI Engineer 2025 - Improving RecSys & Search with LLM techniques original ↗

4 Jun 2025

Exceptional Leadership: Some Qualities, Behaviors, and Styles original ↗

18 May 2025

Building News Agents for Daily News Recaps with MCP, Q, and tmux original ↗

4 May 2025

An LLM-as-Judge Won't Save The Product—Fixing Your Process Will original ↗

20 Apr 2025

Frequently Asked Questions about My Writing Process original ↗

30 Mar 2025

NVIDIA GTC 2025 - Building LLM-Powered Applications original ↗

18 Mar 2025

Improving Recommendation Systems & Search in the Age of LLMs original ↗

16 Mar 2025

Building AI Reading Club: Features & Behind the Scenes original ↗

12 Jan 2025

2024

2024 Year in Review original ↗

22 Dec 2024

Seemingly Paradoxical Rules of Writing original ↗

1 Dec 2024

How to Run a Weekly Paper Club (and Build a Learning Community)original ↗

24 Nov 2024

My Minimal MacBook Pro Setup Guide original ↗

17 Nov 2024

39 Lessons on Building ML Systems, Scaling, Execution, and More original ↗

3 Nov 2024

AlignEval: Building an App to Make Evals Easy, Fun, and Automated original ↗

27 Oct 2024

Weights & Biases LLM-Evaluator Hackathon - Hackathon Judge original ↗

22 Sept 2024

Building the Same App Using Various Web Frameworks original ↗

8 Sept 2024

Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)original ↗

18 Aug 2024

How to Interview and Hire ML/AI Engineers original ↗

7 Jul 2024

AI Engineer 2024 Keynote - What We Learned from a Year of LLMs original ↗

27 Jun 2024

Netflix PRS 2024 - Applying LLMs to Recommendation Experiences original ↗

31 May 2024

Prompting Fundamentals and How to Apply them Effectively original ↗

26 May 2024

What We've Learned From A Year of Building with LLMs original ↗

12 May 2024

Building an AI Coach to Help Tame My Monkey Mind original ↗

7 Apr 2024

Task-Specific LLM Evals that Do & Don't Work original ↗

31 Mar 2024

Don't Mock Machine Learning Models In Unit Tests original ↗

25 Feb 2024

How to Generate and Use Synthetic Data for Finetuning original ↗

11 Feb 2024

Language Modeling Reading List (to Start Your Paper Club)original ↗

7 Jan 2024

2023

2023 Year in Review original ↗

31 Dec 2023

Push Notifications: What to Push, What Not to Push, and How Often original ↗

24 Dec 2023

Out-of-Domain Finetuning to Bootstrap Hallucination Detection original ↗

5 Nov 2023

Reflections on AI Engineer Summit 2023 original ↗

15 Oct 2023

AI Engineer 2023 Keynote - Building Blocks for LLM Systems original ↗

9 Oct 2023

Evaluation & Hallucination Detection for Abstractive Summaries original ↗

3 Sept 2023

How to Match LLM Patterns to Problems original ↗

13 Aug 2023

Patterns for Building LLM-based Systems & Products original ↗

30 Jul 2023

Obsidian-Copilot: An Assistant for Writing & Reflecting original ↗

11 Jun 2023

Some Intuition on Attention and the Transformer original ↗

21 May 2023

Open-LLMs - A list of LLMs for Commercial Use original ↗

7 May 2023

Interacting with LLMs with Minimal Chat original ↗

30 Apr 2023

More Design Patterns For Machine Learning Systems original ↗

23 Apr 2023

Raspberry-LLM - Making My Raspberry Pico a Little Smarter original ↗

16 Apr 2023

Experimenting with LLMs to Research, Reflect, and Plan original ↗

9 Apr 2023

LLM-powered Biographies original ↗

19 Mar 2023

How to Write Data Labeling/Annotation Guidelines original ↗

12 Mar 2023

Content Moderation & Fraud Detection - Patterns in Industry original ↗

26 Feb 2023

Mechanisms for Effective Technical Teams original ↗

5 Feb 2023

Mechanisms for Effective Machine Learning Projects original ↗

22 Jan 2023

Goodbye Roam Research, Hello Obsidian original ↗

15 Jan 2023

What To Do If Dependency Teams Can’t Help original ↗

8 Jan 2023

2022

2022 in Review & 2023 Goals original ↗

24 Dec 2022

Autoencoders and Diffusers: A Brief Comparison original ↗

11 Dec 2022

Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space original ↗

27 Nov 2022

RecSys 2022: Recap, Favorite Papers, and Lessons original ↗

2 Oct 2022

RecSys 2022 Keynote - Is the Juice Worth the Squeeze?original ↗

23 Sept 2022

Writing Robust Tests for Data & Machine Learning Pipelines original ↗

4 Sept 2022

Simplicity is An Advantage but Sadly Complexity Sells Better original ↗

14 Aug 2022

Uncommon Uses of Python in Commonly Used Libraries original ↗

31 Jul 2022

Why You Should Write Weekly 15-5s original ↗

26 Jun 2022

Design Patterns in Machine Learning Code and Systems original ↗

12 Jun 2022

What I Wish I Knew About Onboarding Effectively original ↗

22 May 2022

Bandits for Recommender Systems original ↗

8 May 2022

How to Measure and Mitigate Position Bias original ↗

17 Apr 2022

Counterfactual Evaluation for Recommendation Systems original ↗

10 Apr 2022

Traversing High-Level Intent and Low-Level Requirements original ↗

20 Mar 2022

Data Science Project Quick-Start original ↗

6 Mar 2022

Mailbag: How to Define a Data Team's Vision and Roadmap original ↗

18 Feb 2022

Red Flags to Look Out for When Joining a Data Team original ↗

13 Feb 2022

How to Keep Learning about Machine Learning original ↗

19 Jan 2022

2021

The Data Scientist Show - Building end-to-end ML systems original ↗

2 Dec 2021

2021 Year in Review original ↗

28 Nov 2021

Informal Mentors Grew into ApplyingML.com!original ↗

25 Nov 2021

5 Lessons I Learned from Writing Online (Guest post by Susan Shu)original ↗

7 Nov 2021

What I Learned from Writing Online - For Fellow Non-Writers original ↗

17 Oct 2021

RecSys 2021 - Papers and Talks to Chew on original ↗

3 Oct 2021

The First Rule of Machine Learning: Start without Machine Learning original ↗

19 Sept 2021

MLOps Community - System Design for RecSys & Search original ↗

15 Sept 2021

Reinforcement Learning for Recommendations and Search original ↗

5 Sept 2021

Amazon Science - Eugene Yan and the Art of Writing about Science original ↗

2 Aug 2021

Bootstrapping Labels via ___ Supervision & Human-In-The-Loop original ↗

1 Aug 2021

Mailbag: How to Bootstrap Labels for Relevant Docs in Search original ↗

20 Jul 2021

SF Big Analytics - System Design for RecSys & Search original ↗

13 Jul 2021

Influencing without Authority for Data Scientists original ↗

4 Jul 2021

System Design for Recommendations and Search original ↗

27 Jun 2021

Patterns for Personalization in Recommendations and Search original ↗

13 Jun 2021

Towards Data Science - Author Spotlight with Eugene Yan original ↗

2 Jun 2021

The Metagame of Applying Machine Learning original ↗

2 May 2021

Search: Query Matching via Lexical, Graph, and Embedding Methods original ↗

25 Apr 2021

My Impostor Syndrome Stories (Guest Post by Susan Shu)original ↗

18 Apr 2021

How to Live with Chronic Imposter Syndrome original ↗

11 Apr 2021

Planning Your Career: Values and Superpowers original ↗

4 Apr 2021

Bukalapak - Fireside Chat with the Data Science team original ↗

28 Mar 2021

TalkPython - What ML can Teach Us About Life original ↗

26 Mar 2021