#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
Oʻzbek tilida matn yozishni ham davri oʻtdi
— Sababi xalqaro bozorda ham oʻzbek tili boʻyicha rivojlanishlar amalga oshirmoqda. Masalan, Gboard klaviatura dasturida oʻzbek tilidagi audioni matn qilib yozib berish qoʻshilibdi. Bu ancha oldin ishga tushgan menimcha, ahamiyat bermagan ekanman. Bugun test qilib koʻrsam juda yaxshi ishlayapti va foydali dastur. Albatta, biroz kamchiliklar bor...
P.s. 2 soatlik audio yuboradigan kishilarni audiosini eshitib, uxlab qolmaysiz endi, bu texnologiyadan foydalansa agar)
@suxrobblog — #foydali#gboard
#Gboard#rafareborn
模块：eu.hxreborn.gboardmaterialexpressiveblack
简介：Gboard Material Expressive Black
版本：200-2.0.0
更新时间：2026/03/18 03:27:08
更新日志：
💥 BREAKING CHANGES
due to 103d427 - migrate to libxposed API 101 (PR #1 by @hxreborn):
migrate to libxposed API 101 (#1)
✨ New Features
103d427 - migrate to libxposed API 101 (PR #1 by @hxreborn)
🐛 Bug Fixes
88820e6 - update release workflow f
@lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot