Una triste historia que habla del lado oscuro de la IA donde las labores de etiquetados de datos (y en este caso concreto una labor que se vuelve horrible para el etiquetador) acaba siendo externalizada a países con costes laborales mucho más bajos.
DATA
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Predibase Honored as Top Impact Big Data Company
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Starting the year off with a bang Thank you @insideBigData for including @predibase as an honorable mention on IMPACT 50 Most Impactful #BigData Companies! https://
insidebigdata.com/2023/01/17/the
-insidebigdata-impact-50-list-for-q1-2023/
… #ML #MachineLearning #DeepLearning -
ML Education Framework and AI Tools for K-12 Students
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I stayed @MITAppInventor for my Masters, where I used #Redis to develop cloud data tools for K-12 education. I enjoyed my research so much that I applied for a PhD, where I created a framework for #ML education and developed edtech tools for kids to explore #AI. (6/7)
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IBM Cloud Pak for Data Express Drives Business Competitive Advantage
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IBM Cloud Pak for Data Express gives enterprises a competitive advantage by quickly leveraging modern data solutions to drive business outcomes. Discover how, here: https://
ibm.co/3iUerIl
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#IBM #datamanagement #AI #ETL #MLOps #CloudPakForData -
FAISS Vectorstore Saving and Loading Guide
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Instructions for saving and loading FAISS vectorstore You just want to create your vectorstore once, and then pass it around. We added some easy documentation on how to do so. https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/vectorstores.html#saving-and-loading
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Retailers Use DataRobot AI for Personalized Shopping Experiences
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🛒 How can retailers create a more personalized experience for shoppers? See how @Kroger and @8451Group use DataRobot to enable better production, deployment, and interpretation of data.#NRF #NRF2023 @NRFnews pic.twitter.com/do2QyOPIgw
— DataRobot (@DataRobot) 18 janvier 2023How can retailers create a more personalized experience for shoppers? See how @Kroger and @8451Group use DataRobot to enable better production, deployment, and interpretation of data. #NRF #NRF2023 @NRFnews
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Information Advantage 2023: AI, Data, Cybersecurity and Growth Trends
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Find the #Information Adv!
My #trends 2023 reflection with @OpenText EVP @MuhiSMajzoub http://
bit.ly/NewInfoAdv Plus #TechForGood #foodbanks to #DEI & #CyberSecurity #lowcode #CX #Growth #innovation @DeepLearn007 @BetaMoroney #data #AI @iangertler @Shi4Tech @danfiehn #ML -
Getty Images sues Stability AI for image scraping
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Breaking News: Getty Images has just announced a lawsuit against Stability AI (the company that developed Stable Diffusion), accusing the company of scraping image data from its site to train its AI.
https://theverge.com/2023/1/17/23558516/ai-art-copyright-stable-diffusion-getty-images-lawsuit
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Data Points vs Distributions: Understanding AI Training Plagiarism
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Confundir el datapoint (e.g. una imagen) con la distribución de datos (e.g. toda la distribución de posibles imágenes cuquis que podrían existir) es lo que podría llevar al engaño de que estas IAs copian los datos de entrenamiento. O dicho de otro modo: que plagian.
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Understanding Datasets: Each Point Represents One Image
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Es decir, esa imagen de un espiral NO representa a una sola imagen (un datapoint del dataset) sino que ese espiral sería un hipotético dataset al completo, donde cada punto que veis sería UNA IMAGEN. Una imagen, o una canción, un vídeo o una proteina. Un datapoint, vamos.