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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 #4132 · 02/12/2025, 01:00 PM

Investments Surge in Tech Startups Recent funding rounds highlight growing investments in innovative technology firms: - Nirmata: $9.60M for security and compliance solutions. - Gaudi Clinical: $8.92M, advancing medical technology. - Watney Robotics: $8M, focusing on autonomous infrastructure. - ACT-ion Battery Technologies: $7.50M for revolutionary battery materials. - Fragmetric: $7M, enhancing staking protocols. - Lithium Africa: $6M, exploring cost-effective mining options. - TOKYO GameFi: $6.95M, redefining Web3 experiences. - Lens: $5.53M, improving management solutions. - ReCarber: $5.50M, developing carbon removal projects. Additionally, Sam Altman emphasizes the rapid advancement of AI capabilities, suggesting a tenfold increase in power annually, leading to significant impacts on employment and wealth distribution. Read more #Funding#Tech#Startups#AI#Crypto#Robotics#BatteryTech#Web3#CarbonRemoval#Healthcare#Lithium#Kubernetes#SaaS#Tokenomics#Innovation#AGI#VC