#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
#RATS is dropping in a bearish channel on 4H time frame,we are waiting for breakup from the supply zone and ceiling of the bearish channel..✨
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS has falling wedge pattern on 4H Time frame,we expect it will have a good pump from the support zone in near future 💎
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS has a falling wedge pattern on 4H Time frame,in the case of breakup we will see huge pump again 💎
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#RATS bounced back from the Trendline on 2H Time frame,we expect it will pump from here until the next level 🚀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
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