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(popular; 21)Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
30 Jul 2023  ·  66 min  ·  llm engineering production 🔥
Also, shortcomings in document retrieval and how to overcome them with search & recsys techniques.
09 Apr 2023  ·  14 min  ·  llm deeplearning learning 🛠 🔥
Pushing back on the cult of complexity.
14 Aug 2022  ·  10 min  ·  machinelearning engineering production 🔥
Some off-the-beaten uses of Python learned from reading libraries.
31 Jul 2022  ·  10 min  ·  python engineering 🔥
Understanding and spotting patterns to use code and components as intended.
12 Jun 2022  ·  13 min  ·  machinelearning engineering python 🔥
What to consider for in terms of data, roadmap, role, manager, tooling, etc.
13 Feb 2022  ·  8 min  ·  datascience machinelearning career 🔥
Why this is the first rule, some baseline heuristics, and when to move on to machine learning.
19 Sep 2021  ·  8 min  ·  machinelearning career 🔥
Breaking it into offline vs. online environments, and candidate retrieval vs. ranking steps.
27 Jun 2021  ·  13 min  ·  teardown production engineering recsys 🔥
An overview and comparison of the various approaches, with examples from industry search systems.
25 Apr 2021  ·  21 min  ·  teardown machinelearning production 🔥
Three documents I write (one-pager, design doc, after-action review) and how I structure them.
28 Feb 2021  ·  10 min  ·  writing engineering productivity 🩷 🔥
Access, serving, integrity, convenience, autopilot; use what you need.
21 Feb 2021  ·  19 min  ·  teardown machinelearning engineering 🔥
Stop procrastinating, go off the happy path, learn just-in-time, and get your hands dirty.
Why real-time? How have China & US companies built them? How to design & build an MVP?
10 Jan 2021  ·  21 min  ·  teardown machinelearning recsys production 🔥
What questions do they answer? How do they compare? What open-source solutions are available?
25 Oct 2020  ·  16 min  ·  teardown datascience engineering 🔥
Why (and why not) be more end-to-end, how to, and Stitch Fix and Netflix's experience
09 Aug 2020  ·  17 min  ·  datascience machinelearning leadership 🔥
Why OMSCS? How can I get accepted? How much time needed? Did it help your career? And more...
I couldn't find any guides on serving HTML with FastAPI, thus I wrote this to plug the hole on the internet.
23 Jul 2020  ·  3 min  ·  engineering python til 🔥
After this article, we'll have a workflow of tests and checks that run automatically with each git push.
21 Jun 2020  ·  20 min  ·  engineering production python productivity 🔥
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
05 Apr 2020  ·  6 min  ·  writing learning productivity 🔥
How hard work, many failures, and a bit of luck got me into the field and up the ladder.
A deeper look into the strengths and weaknesses of Agile in Data Science projects (Part 1 of 2).
26 Jan 2019  ·  13 min  ·  agile datascience productivity 🔥
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