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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 #65082 · 04/10/2026, 08:38 PM

🚀 Scroll Users Face Excessive Transaction Fees Due to Multiplier Increases Scroll users incurred over $50,000 in additional transaction fees following six manual multiplier increases that elevated Layer 1 data charges to 1,280 times the original baseline. According to NS3.AI, L2BEAT reported that approximately 139,000 transactions were impacted over a span of roughly four days, with the baseline cost estimated at around $280. On April 9, the team reduced both multipliers by 160 times. Etherfi Cash bots contributed approximately $35,000 of the excess fees during etherfi's migration to Optimism. #Scroll#TransactionFees#MultiplierIncrease#Layer1#L2BEAT#NS3AI#Etherfi#Optimism#Crypto#Blockchain#SCR