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.”
Editor’s note: This article was updated on 3 January 2024 to add Yew and Xilem to the list of Rust GUI libraries. Graphical user interfaces (GUIs) provide an intuitive visual frontend for interacting with computers. GUIs use visual indicators like icons, windows, and menus for better user interaction and experience, unlike command-line interfaces (CLIs) that use text for input and output operation
When I see the landscape of native GUI in 2022, I feel like something is missing. I don’t just mean Rust UI. My frustrations with UI frameworks started long before I’d even heard of Rust. The origin story: Qt and fear The Qt framework is a C++ toolkit for writing GUI apps. In 2019, I spent a year working on a Qt project for an energy company, a diagram editor meant to be used by electrical enginee
An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier
Over the past decade, my work has centred on partnering with teams to build ambitious products for the web across both desktop and mobile. This has provided a ring-side seat to a sweeping variety of teams, products, and technology stacks across more than 100 engagements. While I'd like to be spending most of this time working through improvements to web APIs, the majority of time spent with partne
Should you use OCaml for web projects? Web development trends are a hotly debated topic in the computer programming world and the familiar faces of languages and frameworks are unlikely to change: hypertext markup language or HTML, CSS, and JavaScript are the core technologies (with server-side technologies such as PHP, Python, etc.), and React, Vue, Svelte, and Angular are proving to be as popula
JupyterLab Changelog — JupyterLab 4.6.0a1 documentation
JupyterLab Changelog# v4.5# JupyterLab 4.5 includes a number of new features (described below), bug fixes, and enhancements. This release is compatible with extensions supporting JupyterLab 4.0. Extension authors are encouraged to consult the Extension Migration Guide which lists deprecations and changes to the public API. Performance and windowing# The default windowing mode is now contentVisibil
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Patterns for Building LLM-based Systems & Products
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