#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
EVAA: Introducing Loop APY for LP Pool Interface
#Loop#EVAA
EVAA introduces a new Loop APY feature in its LP Pool Interface, enabling users to deposit LP tokens from StormTrade or DeDust as collateral, borrow TON or USDT, and utilize a liquidity looping strategy to potentially enhance annual returns. This strategy combines third-party yields, EVAA rates, and compounding effects.
Source: link
@tonlines
For operatori
Umuman olganda kod yozayotganingizda bir xil hisoblash jarayonini qayta-qayta yozish qimmatli vaqtingizni o'g'irlab sizni bezor qilishi mumkin, masalan siz “Salom, Dunyo!” jumlasini 100 marta yozishingiz zarur bo’lib qoldi.Siz uni qayta qayta yozib chiqgan bo’larmidingiz, yo’q albatta.
👉Batafsil
👨🏫 Mentor: Suxrob Xayitmurodov
#csharp#for#loop#starter
.NET Uzbekistan Community
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