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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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@googlefactss · Post #40595 · 01/27/2026, 11:00 AM
The temperature -40 °C is the same as -40 °F. This is the only temperature where Celsius and Fahrenheit match exactly. 🌡️❄️ @googlefactss #Temperature#Celsius#Fahrenheit#Science#Facts
@googlefactss · Post #40993 · 04/30/2026, 01:37 AM
Crickets can be used to estimate temperature using Dolbear’s Law. The snowy tree cricket is the best species for this method because its chirp rate closely matches temperature changes. 🦗 Count chirps in 14 seconds and add 40 to estimate the temperature in °F. Crickets chirp faster in warm weather and slower in cold because they are cold-blooded. 🌡️ To estimate temperature in °C, count chirps in 8 seconds and add 5. This method is fairly accurate between 5 and 30°C. 🌡️ To convert °F to °C, subtract 32 and multiply by 0.56. 🥵🥶🦗🌡️ [Read more] @googlefactss #Insects#ScienceFacts#Nature#DidYouKnow#celsius#Fahrenheit If you have ideas or feedback contact us: @Googlefactss_Feedback_bot