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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 #3649 · 12/21/2024, 10:24 AM

Decart Secures $32M Funding Round Decart raises $32M in a funding round on December 19, 2024. The company aims to democratize consumer AI with innovative solutions. Backed by Sequoia Capital and Zeev Ventures, Decart enhances GPU efficiency for AI model training, making advanced AI tools more accessible. It disrupts gaming and entertainment by enabling immersive experience creation from text prompts. Learn more #Decart#Funding#AI#GPU#Gaming#Entertainment#SequoiaCapital#ZeevVentures#ConsumerAI#TextToExperience#Innovation#Platform #2024 #Revolutionary#Technology#Access#Development#Efficiency#Democratization#Tools#Industry