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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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EdgeMarket.AI 📣

@edgemarketai · Post #7991 · 02/20/2026, 10:35 AM

High-profile matches expose more than skill — they reveal system dynamics. For Nottingham Forest vs Liverpool, EdgeMarket analyzes scenario formation: • Momentum vs control • Tactical flexibility • Fatigue and recovery cycles • Pressure response under crowd intensity Rather than framing outcomes as binary, we focus on how probabilities evolve before and during the match. Sport is one of the clearest real-world laboratories for decision intelligence. #DecisionIntelligence#SportsAnalytics#PremierLeague#EdgeMarket#SystemsThinking#OutcomeAnalysis