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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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@venturevillagewall · Post #3610 · 12/21/2024, 10:01 AM

TON Foundation Partners with GMX TON Foundation collaborates with decentralized exchange GMX! to innovate high-frequency trading in the TON ecosystem. They launched a competition for developers to create new DEX with perpetual futures contracts on TON. Participants have two months to develop their projects; winners will receive expert support from GMX and funding from TON Foundation. Applications are open for two weeks. Read more in the blog. #TON#GMX#DeFi#DEX#Crypto#Competition#Trading#Futures#Blockchain#Innovation#Developers#Funding#Partnership#Ecosystem#HighFrequencyTrading#Finance#Technology#Web3#DecentralizedExchange#SmartContracts