#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
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🔔AMA ANNOUNCEMENT
🗣We are pleased to announce our #Voice AMA with "Ethernity Cloud " || 16th Jan 2025 at ( 13:00PM UTC)
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⏳ Time : 16th Jan, 2025 at (13:00PM UTC)
🏠 Venue
✉️Crypto Fight
🤵♂️Guest : Iosif Peterfi - CEO
➡️There will be 3 segments. Last approximately for 45 minutes - 1 hours.
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Tribute: Voice Actor Shares Success Story
#Tribute#voice
Tribute shares insights from a voice actor who has mastered monetizing talent using the platform. Learn how they turn their passion for voice acting into income.
Source: link
@tonlines
🆕 AI News:Did you know? Scientists recently trained an AI to recognize emotions in human voices even better than some people can! Experts believe this could help build smarter assistants and even help diagnose health issues sooner.
❕ Would you trust an AI to sense your mood?
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