#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
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate. Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c https://x.com/OnchainLens/status/2034936951275757877 Follow @onchainlens for more onchain updates
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate.
Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c
https://x.com/OnchainLens/status/2034936951275757877
Follow @onchainlens for more onchain updates
After being dormant for 8 months, a whale deposited 2,11,343 $TRUMP worth $847.4K into #Gate, losing $1.28M.
The whale initially withdrew these $TRUMP for $2.13M from #Gate.
The whale also holds 18,787 $SOL ($1.66M), losing $1.62M.
Address - 7HqAk2h4cJZqyKdbzKEqm4JeWBnKMitVrwFMoEgqE93D
https://x.com/OnchainLens/status/2033095024649601045
Follow @onchainlens for more onchain updates
Wallet 0x011 (likely @ambergroup_io) withdrew 3M $SAFE ($6.72M) from #Gate.io at $2.25 for the first time 6 hours ago.
Notably, the $SAFE price has dropped ~36% since it became transferrable on April 23, 2024. Was this a good entry? 🤔
Follow @spotonchain and set alerts for Amber Group now via https://platform.spotonchain.ai/en/entity/80