#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
🚀 Etherscan Enhances Contract Page with New Features
Etherscan has announced a revamp of its contract page, introducing an IDE-style code browser. According to Foresight News, the update includes features such as file tree navigation, multi-file tabs, contract outline jumping, and cross-file keyword search.
The redesign also improves the interaction interface for reading and writing contract pages, aiming to enhance the user experience in reading and operating smart contracts. Users can now switch to full-screen mode and open matching contract codes directly in Blockscan and Ethereum Remix for editing.
#Etherscan#SmartContracts#Blockchain#Ethereum#CodeBrowser#DeveloperTools#Crypto#IDE#BlockchainDevelopment#TechUpdate#ETH