TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14926 · Jul 8

#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

Results

1 similar post found

Search: #coinjoin

当前筛选 #coinjoin清除筛选
Venture Village Wall 🦄

@venturevillagewall · Post #4026 · 01/30/2025, 04:00 AM

Bitcoin Tax Fraud Case Sentenced Texas resident Frank Richard Ahlgren III faces two years in prison for tax evasion linked to the sale of $4M in Bitcoin. Ordered to pay $1,095,031 in restitution, this marks the first purely crypto-related tax fraud case in the U.S. Ahlgren concealed transactions using multiple wallets and mixers like CoinJoin and Wasabi Wallet. Details: source #Bitcoin#Crypto#TaxFraud#Blockchain#USA#Court#Restitution#Legal#Finance#Tax#CryptoRegulation#CryptoNews#Ahlgren#PeerToPeer#Wallets#Mixers#CoinJoin#WasabiWallet#Chainalysis#Investigation#Fraud