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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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Google Facts™ [ ️@googlefactss🌎]

@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