Tech Tips, Tricks & Trivia
A seasoned developer's little discoveries and annotated bookmarks.
This Week I Learned - * Llama 3.2 90B and 11B accept images as well as text and generate text output (image processing is not available in the European Union). Llama 3.2 1B and 3B accept and generate text. All four models can process 131,072 tokens of input context and generate 2,048 tokens of output. Llama 3.2’s vision-language capabilities now drive...
Gross domestic product, or GDP for short, is like the financial scoreboard of a country's economic game. It tallies up the total market value of all the final goods and services made during a particular time period. The formula to figure out this mega number: GDP = Consumption + Investment + Government Spending + (Exports - Imports). Courtesy:...
This Week I Learned - * Gemini Code Assist can support you across key stages of the Software Development Life Cycle (SDLC) like design, build & test and deploy.* Similar to the original GitHub Copilot "AI pair programmer," Google's AI-powered code completion tool, Gemini Code Assist, will be available for free in Microsoft's Visual Studio Code editor...
Mirabelle is a customized version of the powerful Datasette tool, specifically tailored for exploring the Open Food Facts database—a collaborative, free, and open resource of food products from around the globe.Originally created by Simon Wilson, Datasette allows users to discover patterns in data and share their findings effortlessly through interactive...
This Week I Learned - * Cursor is a fork of VS Code. As a standalone application (and not an extension), Cursor has more control over the UI of the editor, enabling greater AI integration. Regardless of whether you use the free, pro or business version of Cursor, all generated code is yours and free to be used however you like, including commercially. *...
Key points for Episode #54. Data Analytics of Data Storytelling, and Information Design - Lesson and Listen Series:Data analytics is like learning a language. To communicate effectively through data, one needs to understand both the "vocabulary" (data types and charts) and the "grammar" (how to interpret and present data visually). Data analytics is...
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