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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 #4340 · 03/08/2025, 01:00 PM

Multiple Startups Secure Funding in March In March 2025, several startups raised significant funding: - Raywatt: $5.87M - welevel: $5.70M - Conveo: $5.30M, offering AI-led research automation. - Intangible: $4M, focusing on 3D creative tools. - PhaseTree: $3.24M, specializing in materials design simulation. - FutureVault: $3M, enhancing digital vault technology. - Insurevision.ai: $2.70M for InsureVision solutions. - GovEagle: $2.50M for AI compliance tools. - FortyTwo: $2.30M, creating a decentralized AI network. - Jingyi Jingce: $1.38M for Fiber Optic Pipe monitoring. #Funding#Startup#AI#Tech#Research#3D#Simulation#DigitalVault#Compliance#Decentralized#GenerativeAI#FiberOptics#Innovation#Investments#Capital#VentureCapital#Entrepreneur