#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
🛰️ Flags of the #Kaliningrad Region and the City of Zelenogradsk are back from #ISS🌍 to be later exhibited in #Kaliningrad Regional Museum of History and Arts.
📸 by the Museum
🚀🌍Le commandant de l'ISS et envoyé spécial de TASS à bord, Sergueï Koud-Svertchkov, a montré des images du vaisseau spatial Crew Dragon approchant de la station.
#iss#espace
LIVE: Farewells, hatch closing for Soyuz MS-18 crew on ISS
Farewells and hatch closing for the Soyuz MS-18 crew on the International Space Station.
#Reuters#Live#News#Space#ISS
➖@reutersworldchannel➖
🇷🇺🛰️ Le vaisseau cargo Progress MS‑32 s’est désamarré du module Zvezda du segment russe de la Station spatiale internationale (ISS) avant l’arrivée d’un nouveau cargo, montre la retransmission de Roscosmos.
#russie#vaisseau#iss