جستجوی پیشرفته اشتراک‌ها

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PGlite - PostgreSQL را به صورت محلی در Node، Bun و همچنین در مرورگر اجرا کنید
200, OK
https://www.blackslate.io/articles/pglite-run-postgresql-locally-in-node-bun-and-also-in-browser icon

PGlite is a WASM (Webassembly) based TypeScript/JavaScript client library which helps to run PostgreSQL locally in Browser or in NodeJS / Bun. It does not include any dependencies. It is very light weight and it's size is 3 MB Gzipped. It supports many Postgres extensions like pgvector, live queries, bloom, btree, earthdistance, fuzzymatch and lot morebun.

PGlite - PostgreSQL را به صورت محلی در Node، Bun و همچنین در مرورگر اجرا کنید
چگونه در گیت‌هاب، لاگ تغییرات را به صورت خودکار تولید کنیم؟
200, OK
https://tiagomichaelsousa.dev:443/articles/stop-writing-your-changelogs-manually/ icon

Stop writing your changelogs manually

How do you usually keep track of the changes in your projects? Do you use GitHub releases? Do you update your changelogs manually? In this article, I will explain how I handle this topic. This is just one way of doing it, feel free to stick around if you are interested in the topic 🔥

چگونه در گیت‌هاب، لاگ تغییرات را به صورت خودکار تولید کنیم؟
Android 15 منتشر شد
200, OK
https://android-developers.googleblog.com/2024/09/android-15-is-released-to-aosp.html icon

Today we're releasing Android 15 and making the source code available at the Android Open Source Project (AOSP). Android 15 will be available on supported Pixel devices in the coming weeks, as well as on select devices from Samsung, Honor, iQOO, Lenovo, Motorola, Nothing, OnePlus, Oppo, realme, Sharp, Sony, Tecno, vivo, and Xiaomi in the coming months.

Android 15 منتشر شد
ChatGPT مزخرفه!
303, SeeOther
https://link.springer.com/article/10.1007/s10676-024-09775-5 icon

ChatGPT is bullshit

Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.

ChatGPT مزخرفه!