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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

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Crypto M - Crypto News

@CryptoM · Post #64763 · 04/09/2026, 08:15 PM

🚀 Ether Rises Over 6% as Undervaluation Signals Potential Retest of Higher Levels Ether experienced a 6.33% increase, surpassing $2,150, with indicators suggesting a potential retest of the $2,400–$2,500 range. According to NS3.AI, the Capriole Macro Index Oscillator registered a reading of -2.42, indicating that Ether is in a rare undervaluation zone. This development has sparked interest among investors, who are closely monitoring the cryptocurrency for further movements. #Ether#Crypto#Ethereum#Undervaluation#PriceIncrease#Investment#CryptoTrading#NS3AI#ETH

Crypto M - Crypto News

@CryptoM · Post #64918 · 04/10/2026, 09:28 AM

🚀 Goldman Sachs Highlights Undervaluation in Global IT Sector Goldman Sachs has identified the global IT sector as undervalued following a significant decline in its valuation premium. According to NS3.AI, analysts at Goldman Sachs noted that the sector is currently trading at a lower price-to-earnings ratio compared to consumer discretionary, consumer staples, and industrials. They also pointed out that earnings revisions in the tech sector are more robust than in other sectors. However, they cautioned that tighter credit conditions or reduced revenue from hyperscalers could impact the sector's spending returns. #GoldmanSachs#ITsector#undervaluation#valuation#techsector#earningsrevisions#creditconditions#hyperscalers#consumerdiscretionary#consumerstaples#industrials