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: #cryptohodl

当前筛选 #cryptohodl清除筛选
Easy busy | with Tony Schneider 🇬🇧

@easy_busy_eng · Post #388 · 12/05/2025, 04:41 PM

2013 GPU mining = turning $3 of electricity into $600+ per day” Back in 2013 a simple GPU rig could mine: 0.5–1 BTC per day 0.5 BTC today = ~$18,500 1 BTC today = ~$37,000 Mining was one of the highest ROI opportunities ever seen in the digital age. People who mined early didn’t just make money — They secured freedom long before the rest of the world woke up. #BitcoinMining#BTC#CryptoHODL#MiningHistory