#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
🌎 Wild African grey parrots are known to mimic not only human speech but also the calls of up to 30 other bird species in their habitat. This ability helps them integrate into mixed-species flocks and avoid predators by confusing potential threats. Parrots’ vocal learning is so advanced that some individuals can remember and use sounds for decades. ✨
#parrots⚡#intelligence⚡#communication
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🌎 African grey parrots rank among the best animal communicators. Scientific studies show they can understand hundreds of words, use them in context, and even grasp abstract concepts like “same” and “different.” One famous parrot, Alex, correctly identified shapes and colors and understood the concept of zero. ✨
#parrots⚡#cognition⚡#communication
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🌎 African grey parrots can solve multi-step logic puzzles and use words in meaningful context. In experiments, these parrots matched human toddlers in understanding basic concepts. The largest recorded vocabulary for one individual exceeded 1,000 words. ✨
#parrots⚡#animalbehavior⚡#cognition
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🌎 Parrots like the African grey can learn hundreds of words and use them to solve problems or request specific items. Studies show Alex, a famous African grey, identified colors, shapes, and quantities—demonstrating complex reasoning once thought exclusive to humans. ✨
#parrots⚡#cognition⚡#language
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