#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
We can use Short-Term Holder MVRV to monitor the unrealized profit or loss of new market participants. Comparing the STH cost-basis to the spot price reveals the pressure they face to sell at a loss or take profit.
#MVRV is already above the 1.0 Mark, which shows strong bullishness in the market and #MVRV tested the Moving Average as Resistance already, and more momentum yet to come if it crosses the 155D Moving Average with MVRV
By Crypto Australia
#MVRV started flipping bullish as #MVRV Ratio flipping above the 1Y MRVR Moving Average. Historically, we've seen this indicating some good mid-term and long-term trends successfully, so this could be another indication to us.
By Crypto Australia
🚀 Bitcoin's Potential Bear-Market 'Iron Bottom' Predicted by Analyst
A CryptoQuant analyst has projected that Bitcoin might establish a bear-market 'iron bottom' within the $55,000–$60,000 range by the end of 2026. According to NS3.AI, this prediction is grounded in on-chain indicators, notably the MVRV Z-score, which has moderated but remains above negative levels.
#Bitcoin#Crypto#BearMarket#CryptoAnalysis#MVRV#OnChainData#CryptoPredictions#BTC