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100 Tips, Tricks, Hacks, and Methods for Coding with AI in Cursor

Okay, full disclosure: This article was generated using ChatGPT Deep Research, based on instructions to review and paraphrase recent discussions from Cursor forums and Hacker News comments. All tips were synthesized from community insights to provide practical, up-to-date advice. However, I found it super useful to read, so I’m sharing it on my blog for others to read.

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Investigating the DeepSeek DeepGEMM Release

DeepSeek just released DeepGEMM, as the third release in their Open-Sourcing 5 AI Repos in 5 Days series.

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How I created a free blog using Python and GitHub Pages

This blog post will show you how to create a free blog hosted on GitHub Pages using the Python documentation generator Sphinx and the ablog extension.

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Hello Ablog World!

My first post on my brand new ablog blog 🚀

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Text Classifiers are an Underrated Application of LLMs

Before LLMs really became a thing, getting up and running with a text classifier for a non-standard problem from scratch, including the annotation of a dataset for training, would probably take at least 3 weeks of work hours. That amounts to 7,200 minutes. Today, getting up and running with a classifier using LLMs requires only writing a prompt, which takes about a minute.

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A Process for Building LLM Classifiers

Large language models (LLMs) can be prompt-engineered to solve a wide variety of tasks. While many consider chat as the primary use case, LLMs can also be used to build traditional classifiers.

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