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Source channel @githubtrending · Post #14993 · Jul 24

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#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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@producTICvidad · Post #1042 · 04/22/2023, 09:20 PM

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Esto está muy poderoso... Eight dimensions of #DesignThinking capture important differences in how managers and designers perform their work and make decisions. 1️⃣ Design thinking has the potential to drive innovation and improve customer experiences in organizations. 2️⃣ To succeed, organizations must understand and adopt the principles of design thinking. 3️⃣ Developing the right culture and mindset is crucial for design thinking to be effective. 4️⃣Embracing collaboration, ambiguity, and iterative learning can help organizations leverage design thinking. 5️⃣ Openness to change and adaptability are essential for design thinking to deliver sustainable growth. https://sloanreview.mit.edu/article/can-design-thinking-succeed-in-your-organization/

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