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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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Venture Village Wall 🦄

@venturevillagewall · Post #3882 · 01/15/2025, 10:00 AM

Multiple Fundraising Rounds Announced Several companies secured funding recently: - OpenCopilot raised $1.52M for AI customer support. - Archive Intel secured $1.50M for AI-driven data archiving solutions. - Serene obtained $1.14M using AI for customer insights and compliance. - Sytrex raised $1.10M to aid financial institutions. - Tire Swing acquired $500K focusing on cybersecurity. In other news, the SEC sues Elon Musk over misleading shareholders during the Twitter acquisition, and Meta plans to lay off 3,600 employees for inefficiency. More updates on AI job creation and Bitcoin market analysis suggest significant changes ahead. #Funding#AI#Crypto#SEC#ElonMusk#Meta#Bitcoin#CustomerSupport#DataArchiving#FinancialInstitutions#AIJobs#LayerZero#Serene#Sytrex#TireSwing#ArchiveIntel#OpenCopilot