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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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Crypto M - Crypto News

@CryptoM · Post #64902 · 04/10/2026, 08:17 AM

🚀 TON Declines Over 24% Year-to-Date Despite Wallet Accumulation and Network Upgrade TON has experienced a decline of over 24% since the beginning of the year. According to NS3.AI, despite this downturn, the top 100 wallets have accumulated an additional 189,730 TON in the past three months. This week, TON implemented the Catchain 2.0 upgrade, which has reduced confirmation times to less than one second for Telegram mini-apps, payments, and high-frequency activities. The network's seven-phase roadmap includes plans for future fee reductions. #TON#cryptocurrency#blockchain#wallets#networkupgrade#Catchain2#Telegram#cryptoaccumulation#feereduction#highfrequencytransactions