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Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”
How to Write Better with The Why, What, How Framework [ writing engineering productivity 🩷 🔥 ] · 10 min read Here’s a story from the early days of Amazon Web Services: Before writing any code, engineers spent 18 months contemplating and writing documents on how best to serve the customer. Amazon believes this is the fastest way to work—thinking deeply about what the customer needs before executi
The First Rule of Machine Learning: Start without Machine Learning [ machinelearning career 🔥 ] · 8 min read Update: This made the top of Hacker News (~600 points). Comments here. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the time, my first iteration doe
How to Set Up a Python Project For Automation and Collaboration [ engineering production python productivity 🔥 ] · 20 min read As your Python project gets larger in scope, it can become difficult to manage. How can we automate checks (e.g., unit testing, type-checking, linting)? How can we minimise collaboration overhead (e.g., code reviews, consistency)? How can we maximise developer experience
A couple of years ago, I started (read: was made) to adopt scrum in my work. I didn’t like it. The concept of estimation was vague to me: How do we estimate effort for data exploration or research? And after we move something from In Progress to Done, can we move it back? This happens often (in data science) where we need to revisit an upstream step, such as data preparation or feature engineering
Stop Taking Regular Notes; Use a Zettelkasten Instead [ writing learning productivity 🔥 ] · 6 min read In the previous post, I shared about reading -> note-taking -> writing. Note-taking is a key step that converts what you read and learn into writing. This post expands on note-taking. What’s wrong with regular note-taking? From personal experience, regular note-taking doesn’t work. Okay, that’s
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