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Source channel @githubtrending · Post #15353 · Dec 22

#python#gemini#gemini_ai#gemini_api#gemini_flash#gemini_pro#information_extration#large_language_models#llm#nlp#python#structured_data **LangExtract** is a free Python library that uses AI models like Gemini to pull structured data—like names, emotions, or meds—from messy text such as reports or books. It links every fact to its exact spot in the original, creates interactive visuals for easy checks, handles huge files fast with chunking and parallel runs, and works with cloud or local models without fine-tuning. You benefit by quickly turning unstructured docs into reliable, organized data for analysis, saving time and boosting accuracy in fields like healthcare or research. https://github.com/google/langextract

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MessageInABottle

@mib_messageinabottle · Post #6953 · 05/26/2024, 12:59 PM

🇬🇧#UK #PreCrime "I WAS MISIDENTIFIED AS SHOPLIFTER BY FACIAL RECOGNITION TECH" Sara needed some chocolate - she had had one of those days - so wandered into a #HomeBargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara - who wants to remain anonymous - was wrongly accused after being flagged by a facial-recognition system called #Facewatch. She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology. Facewatch later wrote to Sara and acknowledged it had made an error. The #MetropolitanPolice in #London say that around one in every 33,000 people who walk by its cameras is misidentified. But the error count is much higher once someone is actually flagged. One in 40 alerts so far this year has been a false positive #AI #FacialRecognition