Azərbaycan Respublikası Müdafiə Nazirliyi / MoD of the Republic of Azerbaijan
@Azerbaijan_MOD · Post #28239 · 08/20/2025, 08:20 AM
#Pdm-1 #MüdafiəNazirliyi #AzərbaycanOrdusu #HərbiBilik
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Source channel @githubtrending · Post #14909 · Jul 3
#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
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GitHub Trends
@githubtrending · Post #15257 · 11/01/2025, 01:00 PM
#python#docker#docker_compose#music#pdm#python#vue#xiaoai#xiaoai_speaker#xiaomi#xiaomusic XiaoMusic lets you play any music on your XiaoAI speaker using simple voice commands. You can install it easily with Docker or pip, then connect it to your Xiaomi account through a web interface. It downloads songs automatically and supports many formats. This means you can enjoy unlimited music, create playlists, and control playback hands-free, making your speaker much more powerful and flexible. https://github.com/hanxi/xiaomusic
Ultimora.net - POLITICS
@UltimoraPOlitics · Post #39184 · 05/10/2022, 04:45 PM
#Sondaggi#Moldavia Sondaggio di IDIS-CBS Research-IPRI: #PAS|EPP: 40% (+4) #PSRM|Sinistra russofila: 31% #PȘ|ECR: 11% (-2) #PCRM|LEFT: 7% #MAN|Sinistra: 3% (+1) #DA|EPP: 2% #PN|Grande tenda euroscettica russofila: 2% (-1) #PDM|S&D: 1,5% (+0,5) #AUR|Destra romena: 1% #PS|Anti-corruzione: 1% #PL|RE: 0,3% #PUN|Centro-destra unionista: 0,1% Data rilevazione: 27 aprile-6 maggio +/-: 25 gennaio-5 febbraio Intervistati: 1055 @UltimoraPolitics