#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
LINQ asoslari
LINQ (Language-Integrated Query) - bu ma'lumot manbasidan so’rov olish uchun oddiy va qulay til. Ma'lumotlar manbayi sifatida - IEnumerable interfeysini (masalan, standart to'plamlar, massivlar) amalga oshiradigan obyekt, DataSet, XML hujjati bo'lishi mumkin. Ammo manba turidan qat'iy nazar, LINQ ma'lumotni olish uchun barchasi uchun bir xil usulni qo'llashga imkon beradi.
👉Batafsil
👨🏫 Mentor: Nodirbek Abdulaxadov
#csharp#linq#database#professional
.NET Uzbekistan Community
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#csharp#c_sharp#linq#unity
ZLinq is a high-performance, zero-allocation LINQ library for .NET and game engines like Unity and Godot. It improves on regular LINQ by avoiding memory allocations during method chaining, boosting speed and efficiency, especially in demanding apps like games. You use it by calling `AsValueEnumerable()` on collections, enabling faster queries with almost full compatibility with .NET 10 LINQ features. It supports advanced operations on arrays, spans, trees (like file systems and JSON), and SIMD for parallel processing. ZLinq also offers drop-in replacements to accelerate existing LINQ code without rewriting. This means you get faster, more memory-efficient data processing with minimal code changes[1][3][4].
https://github.com/Cysharp/ZLinq
IEnumerable va IQuerable
LINQ so`rovlarda qaytish tipi aniq bo`lgan holatlarda ularni to`plam holatida qabul qilib olish uchun IEnumerable interfeysidan foydalaniladi. Ushbu interfeys System.Collection namespace da joylashgan.
👉Batafsil
👨🏫 Mentor: Jasurbek Xasanboyev
#csharp#linq#query#professional
.NET Uzbekistan Community
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Expressionlar va ulardan resurslar so'rovlarida foydalanish
Talablarga binoan, siz kutgan mavzu - Expressionlar. Barchaga ma'lumki, database dan kelayotgan ma'lumotlarni dinamik holatda filterlash, saralash unchalik ham oson emas. Ushbu mahorat darsimizda, Sultonbek sizlarga expression/query lar bilan ishlashning yangicha usulini taqdim etmoqchi. Eng qizig'i shundaki, bizning speaker mavzudan ilhomlanib, ushbu amaliyot uchun yangi kutubxona ham ishlab chiqishga ulguribdi. Judayam qiziq, sinab ko'ramiz-a, nima deysiz?
Barchangizni ushbu mahorat darsida kutib qolamiz. Kirsangiz xursand bo'lamiz, kirmasangiz hafa bo'lish yo'q )
Sana: 22-yanvar, 20:00
Havola: Zoom
Speaker: Sultonbek Rakhimov
#expression#linq#filtering#sorting
.NET Uzbekistan Community
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