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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 #3713 · 12/25/2024, 01:00 PM

Funding Rounds Completed Recent funding updates highlight several companies securing significant investments: - HuLoop Automation, Inc.: Raised *$6M* for its AI-driven no-code automation platform. - Arborea: Completed a round of *$5.22M*, focusing on industrializing photosynthesis. - nQ Zebraworks: Secured *$4.50M*, enhancing law firm billing and workflow. - Shexu Technology: Received *$4.12M*, details in Chinese. - Crop Diagnostix: Raised *$3.50M* for agricultural diagnostics solutions. - Rainier Welding: Achieved *$3.30M* for steel and aluminum fabrication services. - Jiaoyi Digital Technology: Secured *$2.75M*, offering a dashboard system template for web development. - Sirui Additive: Raised *$2.74M*, involved in additive manufacturing. #Funding#AI#Automation#Photosynthesis#LawTech#Welding#Agriculture#DigitalTech#WebDevelopment#Investments#Startups#Technology#Innovation#Sustainability#Manufacturing#Healthcare#Cosmetics#CostSaving#Productivity#Transformations