#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books
You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs.
https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
🚨 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