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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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djangoproject

@djangoproject · Post #254 · 02/02/2017, 06:31 PM

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https://groups.google.com/forum/#!topic/pyside-dev/pqwzngAGLWE Dear #Pyside2 contributors, As you might know, Pyside was originally developed for Nokia while it was the owner of the #Qt technology. When Nokia sold Qt to Digia (and now The Qt Company), all the copyrights over the original Pyside code for Qt 4 got transferred to The Qt Company as well. For different reasons, it was not possible for The Qt Company to push Pyside forward as much as we would have wished over the last few years. Fortunately this changed now, and The Qt Company is today in a position, where it can and will invest into Pyside. The goal is to ensure Pyside becomes a fully supported part of the Qt product family, with a similar development and licensing model as the rest of Qt. We want to make sure Pyside works on new Qt releases when they come out and are committed to invest long term into the technology.

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