#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm
UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles.
https://github.com/OpenBMB/UltraRAG
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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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