#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
🚨 BREAKING: $117M in assets stolen from @Balancer in the last 2 hours after a major hack!!!
🔹 Assets stolen are across multiple chains: #Ethereum, #Base, #Optimism, #Sonic, #Polygon, #Berachain – mainly in Liquid Staking Tokens (LSTs) of $ETH.
Top 5 stolen assets:
• 7,838 $WETH (~$29.1M)
• 6,841 $OSETH (~$26.8M)
• 4,459 $WSTETH (~$20.1M)
• 2,405 $SFRXETH (~$10M)
• 2,038 $RSETH (~$8.67M)
🔹 The hacker is acting quickly: Converting LSTs into $ETH in real-time!
🔹 Big move: Whale account 0x009, dormant for 3 YEARS, just resurfaced after the exploit and withdrew $7.38M worth of assets from #Balancer!
⚠️ ALERT: If you’re still on #Balancer, secure your funds NOW before it’s too late! 🔐
Follow @spotonchain for more updates about the hack!
https://x.com/spotonchain/status/1985289043383300351