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Source channel @githubtrending · Post #14909 · Jul 3

#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

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Dasturlash hayoti️️ ️

@dasturlash_hayoti · Post #3370 · 07/17/2024, 07:04 AM

#leetcode#sodda Oxirgi so'zning uzunligi ❔ So'z va bo'sh joylardan iborat s qator berilgan. Satrdagi oxirgi so'zning uzunligini qaytarib beruvchi dastur tuzing. Misol uchun: Input: s = "Hello World" Output: 5 Izoh: Oxirgi so'z uzunligi 5 bo'lgan "World". 💬 Dastur kodini skrinshot holatda yoki nusxalagan holatda izohlarda qoldirishingiz mumkin. Keyingi postda dastur natijasini joylayman. ⚠️Misolni siz xohlagan dasturlash tilida bajarishingiz mumkin. 💻@jonibek_turapov — bilan yuqori kelajak sari