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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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AI match predictions

@ai_match_prediction · Post #11846 · 05/02/2026, 05:05 AM

Netherlands Eredivisie🇳🇱 2026-05-02 12:00 UTC Almere City FC vs. Den Bosch Predicted outcome: Den Bosch❌ Predicted score: 1:2 Actual: Almere City FC 3:0 #AlmereCity#DenBosch 2026-05-02 14:30 UTC Utrecht vs. NAC Breda Predicted outcome: Utrecht✅ Predicted score: 2:1 Actual: Utrecht 2:0 #Utrecht#Breda 2026-05-02 16:45 UTC Groningen vs. Excelsior Predicted outcome: Groningen❌ Predicted score: 2:1 Actual: Excelsior 2:3 #Groningen#Excelsior 2026-05-02 18:00 UTC Ajax vs. PSV Eindhoven Predicted outcome: Ajax❌ Predicted score: 3:2 Actual: Draw 2:2 #Ajax#PSVEindhoven 2026-05-02 19:00 UTC NEC Nijmegen vs. Telstar Predicted outcome: NEC Nijmegen❌ Predicted score: 2:1 Actual: Draw 1:1 #NECNijmegen#Telstar #Football#Eredivisie