--- title: "2024 Year in Review" url: https://daily.dev/posts/2024-year-in-review-zmpsqrgcd source_url: https://eugeneyan.com/writing/2024-review type: article source: "Eugene Yan" published: 2026-05-31T07:40:24.405Z updated: 2026-05-31T08:25:04.768Z tags: ["machine-learning", "llm", "recommendation-systems"] reading_time: 5 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 2024 Year in Review **[Eugene Yan](https://daily.dev/sources/eugeneyan)** · 5 min read · 0 upvotes · 0 comments ## Summary Eugene Yan's 2024 annual review covers professional and personal milestones. On the work side, he productionized ML/LLM systems at scale, co-authored 'What We've Learned From a Year of Building with LLMs' (published by O'Reilly), and built two public projects: Tara (an AI voice coach) and AlignEval (an LLM evaluation tool). He spoke at Netflix's internal RecSys conference and delivered a closing keynote at the AI Engineer World's Fair. On the personal side, he improved diet and exercise habits, traveled to Alaska for the Northern Lights, and saw his website grow to 285k unique visitors despite a 27% drop in Google Search traffic. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#recommendation-systems](https://daily.dev/tags/recommendation-systems) [View this post on daily.dev](https://daily.dev/posts/2024-year-in-review-zmpsqrgcd)