#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
#result
Ko'pgina õquvchilar aniq bir sohani tanlay olisha olmaydi. Tanlashganda ham juda kõp ikkilanishlar bõladi. Ular bilan õzlari xohlagan yõnalishni tanlab, shu yõnalish bo'yicha aniq maqsad sari harakat qilish esa mashaqqatli ish hisoblanadi.
Õquvchilarning universitetlarga ketma-ket kirayotganligi haqidagi xabarlar kelganida esa ushbu mashaqqatlar esdan chiqib, yuzda ajib tabassum hosil bõladi.
Ilm olishda va ilm ulashishda Allohning õzi bardavom qilsin 🤲
Yana ham kõproq natijalarni bilish uchun bizni instagram tarmog'ida kuzatib boring.
#competition#result
👍17-noyabr kuni Oʻzbekiston stol tennisi federatsiyasi bilan hamkorlikda tashkil etilgan “IT Park Table Tennis Cup-2024” turniri oʻz yakuniga yetdi!
🏓 Turnirda 42 ta jamoa ishtirok etdi va kuchli bellashuvlar oʻtkazildi.
🥇 “PAYNET”
🥈 “BRB TECH”
🥉 “UZINFOCOM”, “YUSOLVE”
🏆 Gʻoliblarni samimiy tabriklaymiz! Musobaqada qatnashgan barcha jamoalarga minnatdorchilik bildiramiz. Bu turnir nafaqat sport, balki doʻstlik va hamjihatlikning haqiqiy bayrami boʻldi!
_______
👍The IT Park Table Tennis Cup 2024, organized in collaboration with the Table Tennis Federation of Uzbekistan, successfully concluded on November 17!
A total of 42 teams participated, demonstrating exceptional skill and commitment to victory.
🥇 “PAYNET”
🥈 “BRB TECH”
🥉 “UZINFOCOM”, “YUSOLVE”
🏆 Congratulations to the winners! We extend our gratitude to all teams for their involvement and outstanding performances. This tournament was a true celebration of sportsmanship, friendship, and unity.
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@pic
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