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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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@githubtrending · Post #14782 · 06/03/2025, 01:00 PM

#javascript#gutenberg#wordpress#wordpress_plugin Gutenberg is a new way to edit and build websites in WordPress. It uses blocks for each piece of content, like paragraphs or images, which can be easily moved around. This makes creating pages visually intuitive and flexible. Gutenberg also offers features like real-time collaboration and a visual interface, making it easier to design unique pages. It's still evolving but offers many benefits, such as responsive design and built-in accessibility features, making your website look good on all devices and accessible to everyone. https://github.com/WordPress/gutenberg

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@iGengdu · Post #126 · 05/11/2024, 09:48 AM

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