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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
🌍 The world’s biggest human migration still happens every year in China, as hundreds of millions travel during Lunar New Year— the largest annual movement of people on Earth. ✨
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🌍 In 2022, the number of international migrants reached an estimated 281 million—more than triple the figure from 1970—making up 3.6% of the world’s total population today. ✨
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🌍 Since the 1990s, the number of people living outside their birthplace has more than doubled, with most international migration now happening between countries in Asia and Europe. ✨
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🌍 Tokyo’s Shibuya Crossing is one of the busiest pedestrian intersections in the world, where as many as 3,000 people can cross with every green light, illustrating dense urban flow. ✨
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