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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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Machinelearning

@ai_machinelearning_big_data · Post #9075 · 11/25/2025, 05:34 PM

⚡️ Релиз Flux 2 Модель получила значительный апгрейд . Теперь она учитывает до десяти референсов сразу, лучше понимает свет, материалы и оптику, аккуратнее рендерит текст и выдаёт качество до 4k. Генерации выглядят ровнее и реалистичнее, без пластикового блеска. Можно генерировать, редактировать и совмещать изображения. Веса открытые, так что при желании можно запускать локально (65 ГБ). 🟠Demo: https://playground.bfl.ai/image/generate 🟠Weights: https://huggingface.co/black-forest-labs 🟠HF: https://huggingface.co/black-forest-labs/FLUX.2-dev @ai_machinelearning_big_data #AI#Flux2#ImageGeneration#AIGraphics