#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
Lookonchain | ꘜ
An #Ethereum ICO participant who bought 100K $ETH(costing $31K) sold 4,283 $ETH($18.97M) again recently.
He has sold 44,284 $ETH($105M) at an average price of $2,378 since 2021, leaving 55,716 $ETH($261.6M).
The total profit is ~$366.8M, an 11,835x return!
https://etherscan.io/address/0x815c53bf36a3bc8b066715da459b365e6ce6c3ed
https://etherscan.io/address/0x2c06dd922b61514aafedd84488c0c28e6dcf0e99
Lookonchain | ꘜ
An #Ethereum ICO participant who received 20,000 $ETH( cost $6,200, now $86.6M) just sold another 2,300 $ETH($9.91M) 20 minutes ago, leaving him with 1,623 $ETH($6.99M).
https://x.com/lookonchain/status/1729788901756211328