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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 #3912 · 01/18/2025, 10:00 AM

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$51M Raised Across Multiple Startups Ten innovative startups secured funding in January 2025, totaling $51 million. Highlights include: - Merit Systems: $10M for an open-source economy. - Botika: $8M, leading in AI-generated fashion models. - Underdogs: $6.13M, focused on training entrepreneurs. - TrustUp: $5.18M in health tech innovation. - Elcogen: $5M in efficient fuel cell manufacturing. - Convergence Medical Robotics: $5M for medical robotics solutions. - Constelli: $3M in signal processing for defense. - Immunocure Discovery Solutions: $3M in AI drug discovery services. - Naco: $2.58M for nano coatings in fuel cells. - TalentMapper: $2.44M for talent management solutions. Read more: Merit Systems | Botika | Underdogs | TrustUp | Elcogen | Convergence Medical Robotics | Constelli | Immunocure Discovery Solutions | Naco | TalentMapper #StartupFunding#OpenSource#AI#FashionTech#Education#HealthTech#FuelCells#Innovation#SignalProcessing#DrugDiscovery#NanoTech#HydrogenEnergy#MedTech#VC

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