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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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@revheadcrypto · Post #213 · 08/01/2024, 07:59 AM

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Audi has officially unveiled the new generation A6! Now, this index belongs to electric vehicles — a liftback and an estate version. 🚘 The exterior of the new models is almost entirely copied from the namesake concepts, while the interior is inspired by the Q6 e-tron crossover. 🚢 The base version will be the rear-wheel drive A6 e-tron performance with a single motor producing 367 hp. For the S6, there will be two motors delivering 550 hp and accelerating from 0 to 100 km/h in just 3.9 seconds, with a top speed of 240 km/h. 🔋 In both cases, a 100 kWh battery is provided, allowing the single-motor versions to travel up to 756 km, while the all-wheel drive versions can reach up to 675 km. ℹ️ Pre-orders will start in September, with prices starting at €75,600 for the standard version and €99,500 for the S6. #Audi#A6#ElectricVehicles#ETRON#CarLaunch#LuxuryCars#Innovation#S6#Auto

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