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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
Каскадерский трюк показал водитель автомобиля #Range#Rover на ул. Стеценко.
По предварительным данным, водитель двигался по ул. Стеценко, в какой-то момент потерял управление над своим железным конём и вылетел на тротуар, после чего влетел в трамплин из снега и въехал в воздухе в бигборд. К счастью никто в этом ДТП не пострадал. Водитель утверждает, что ехал с разрешённой скоростью
🌎 In 2014, NASA’s Mars rover Curiosity recorded unusual low-frequency sounds on the Red Planet. These noises, called "pressure fluctuations," are caused by Martian winds interacting with the planet’s thin atmosphere and ground. Scientists detected these signals using a special instrument known as REMS, and the data helps track daily weather changes on Mars. ✨
#Mars⚡#soundspace⚡#rover
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#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv
ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects.
https://github.com/ArduPilot/ardupilot