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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
🌍 In 2023, explorers finished mapping over 75% of the world’s seafloor in high detail, uncovering thousands of undersea mountains and canyons hidden beneath the oceans. ✨
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🌍 Over 80% of Earth’s ocean remains unmapped and unexplored by humans. Modern sonar and robotic submersibles are revealing new mountains, trenches, and species with every deep-sea journey. ✨
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🌍 The first map to show the Americas as a separate continent was made by German cartographer Martin Waldseemüller in 1507. It’s where the name “America” first appeared on a world map. ✨
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🌍 In 2022, explorers used sonar to map a hidden undersea volcano off Madagascar’s coast, revealing a peak 800 meters tall that was completely unknown before their expedition. ✨
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🌎 While mapping the ocean floor in 1947, researchers aboard HMS Challenger discovered the Mid-Atlantic Ridge, revealing Earth's largest mountain range hidden underwater. This seismic finding triggered the theory of plate tectonics—explaining how continents drift. The ridge stretches for over 16,000 kilometers beneath the Atlantic Ocean. ✨
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