Tag:
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(popular; 28)
SearchImproving Recommendation Systems & Search in the Age of LLMs
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
Building the Same App Using Various Web Frameworks
FastAPI, FastHTML, Next.js, SvelteKit, and thoughts on how coding assistants influence builders' choices.
08 Sep 2024 · 8 min · learning engineering python 🛠🔥
Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
18 Aug 2024 · 49 min · llm eval production survey 🔥
How to Interview and Hire ML/AI Engineers
What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.
07 Jul 2024 · 21 min · machinelearning career leadership 🔥
Prompting Fundamentals and How to Apply them Effectively
Structured input/output, prefilling, n-shots prompting, chain-of-thought, reducing hallucinations, etc.
26 May 2024 · 17 min · llm production 🔥
What We've Learned From A Year of Building with LLMs
From the tactical nuts & bolts to the operational day-to-day to the long-term business strategy.
12 May 2024 · 1 min · llm engineering production leadership 🔥
Patterns for Building LLM-based Systems & Products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
30 Jul 2023 · 66 min · llm engineering production 🔥
Some Intuition on Attention and the Transformer
What's the big deal, intuition on query-key-value vectors, multiple heads, multiple layers, and more.
21 May 2023 · 8 min · deeplearning llm 🔥
Experimenting with LLMs to Research, Reflect, and Plan
Also, shortcomings in document retrieval and how to overcome them with search & recsys techniques.
09 Apr 2023 · 14 min · llm deeplearning learning 🛠🔥
Simplicity is An Advantage but Sadly Complexity Sells Better
Pushing back on the cult of complexity.
14 Aug 2022 · 10 min · machinelearning engineering production 🔥
Uncommon Uses of Python in Commonly Used Libraries
Some off-the-beaten uses of Python learned from reading libraries.
31 Jul 2022 · 10 min · python engineering 🔥
Design Patterns in Machine Learning Code and Systems
Understanding and spotting patterns to use code and components as intended.
12 Jun 2022 · 13 min · machinelearning engineering python 🔥
Red Flags to Look Out for When Joining a Data Team
What to consider for in terms of data, roadmap, role, manager, tooling, etc.
13 Feb 2022 · 8 min · datascience machinelearning career 🔥
The First Rule of Machine Learning: Start without Machine Learning
Why this is the first rule, some baseline heuristics, and when to move on to machine learning.
19 Sep 2021 · 8 min · machinelearning 🔥
System Design for Recommendations and Search
Breaking it into offline vs. online environments, and candidate retrieval vs. ranking steps.
27 Jun 2021 · 13 min · teardown production engineering recsys 🔥
Search: Query Matching via Lexical, Graph, and Embedding Methods
An overview and comparison of the various approaches, with examples from industry search systems.
25 Apr 2021 · 21 min · teardown machinelearning production 🔥
How to Write Better with The Why, What, How Framework
Three documents I write (one-pager, design doc, after-action review) and how I structure them.
28 Feb 2021 · 10 min · writing engineering productivity 🩷 🔥
Feature Stores: A Hierarchy of Needs
Access, serving, integrity, convenience, autopilot; use what you need.
21 Feb 2021 · 19 min · teardown machinelearning engineering 🔥
You Don't Really Need Another MOOC
Stop procrastinating, go off the happy path, learn just-in-time, and get your hands dirty.
Real-time Machine Learning For Recommendations
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 🔥
Data Discovery Platforms and Their Open Source Solutions
What questions do they answer? How do they compare? What open-source solutions are available?
25 Oct 2020 · 16 min · teardown datascience engineering 🔥
Unpopular Opinion: Data Scientists Should be More End-to-End
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 🔥
Georgia Tech's OMSCS FAQ (based on my experience)
Why OMSCS? How can I get accepted? How much time needed? Did it help your career? And more...
How to Set Up a HTML App with FastAPI, Jinja, Forms & Templates
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 🔥
How to Set Up a Python Project For Automation and Collaboration
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 🔥
Stop Taking Regular Notes; Use a Zettelkasten Instead
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
05 Apr 2020 · 6 min · writing learning productivity 🔥
My Journey from Psych Grad to Leading Data Science at Lazada
How hard work, many failures, and a bit of luck got me into the field and up the ladder.
Data Science and Agile (What Works, and What Doesn't)
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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