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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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@singsingchannel · Post #1127 · 12/23/2024, 07:11 AM
🔥 Another 121,343 $SING has been burned! 🔥 💨 Reducing supply, increasing value—step by step, we're building a stronger $SING ecosystem. ✔️Check out details: https://bscscan.com/tx/0xb3fac74c5744b68eee62ffa0efbdbe909ec4e719c2b644315a082c32a3aa9634 Stay tuned for more updates! 🚀 #SingSing#TokenBurn#Deflation
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@venturevillagewall · Post #4114 · 02/10/2025, 01:00 PM
Ethereum: Potential Shift to Trustworthy Money Ethereum could become ‘ultra-secure’ money as supply decreases, claims developer Justin Drake. Post-Dencun, emissions stats: 657,000 BTC vs. 469,000 ETH ($63.4B vs. $1.23B). Bitcoin miners rely on crypto mining; commission share at only 1%. Safety concerns may arise as mining becomes less viable. Halvings could worsen security issues. Read more: ForkLog #Ethereum#Bitcoin#Crypto#Mining#Finance#Deflation#JustinDrake#Dencun#ETH#BTC#Blockchain#Investing#Decentralization#PoS#Halving#Security#MarketTrends#Emissions#DigitalAssets#RiskManagement#Cryptocurrency