Large Language Models Can Self-Improve Huang et al.: https://
arxiv.org/abs/2210.11610 #ArtificialIntelligence #DeepLearning #MachineLearning
AI
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Large Language Models Demonstrate Self-Improvement Capabilities
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The Importance of Explainable AI for User Adoption
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Le problème que je regrette, c'est qu'on arrivera pas à embarquer la masse avec des plateformes pensé par des devs. Les algo de reco c'est ouf. Il faut bien s'en servir et pas juste les jeter à la poubelle mais développer des approches d'XAI par exemple. https://
en.wikipedia.org/wiki/Explainab
le_artificial_intelligence
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Addressing data privacy and algorithmic issues in AI
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Mais on fait quoi ? Est ce que je suis en train de cracher sur des intiatives open source et faire l'apologie des plateformes tech, NON. J'alerte constamment sur la viligance de vos données et sur les dérives des algos d'IA, comme dans cette vidéo
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The impact of AI recommendation algorithms on user experience
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Tout le monde critique les algorithmes des plateformes, et notamment les algo de recommandation soupçonnait de manipuler les utilisateurs. Oui mais voilà quand on supprime tous les algos d'IA ,et qu'on laisse le choix aux users. Ca créé une UX horrible. Comment ca ? Exemple
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Platform moderation fees and fake news enforcement policy
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Now that we’ll have a fee for blue tick, how about a fine for fake news?
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Academic Review Process Rigor and Accountability Critique
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I learned more about the potential of overlap from your tweets than this metareview. That shows how lazy the metareview is. If the AC's gonna wield significant power to overturn three reviewers, they have to do more work than this. Read the paper and point out the exact overlap
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Tech Convergence: AI, ML, IoT Integration in Retail Digital Signage
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Connect The Dots! How #tech convergence #AI #ML & #IoT is enabled by #SystemsIntegrators – Examples #Digitalsignage in #Retail & more! See @Think_BlueStar @intel via @insightdottech https://
insight.tech/retail/sis-dep
loy-interactive-digital-signage-with-ease?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #software #ITInfluencer #hardware #IntelPartner #IoT @dinisguarda -
Career Paths: Data Science vs Machine Learning Engineering
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If you want to become a full-stack data scientist then start from data science and to become MLE you can go with ML as well
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Team structure and ethical considerations in AI dataset creation
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I would say: smaller teams of full time people in a single org, simpler performance goals, more paid compute, no specific goals on ethical sourcing or social impact of the dataset creation process
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AI Evolution Reshapes Modern Advertising Industry Landscape
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How Artificial Intelligence has Evolved in the Advertising Industry https://
analyticsinsight.net/how-artificial
-intelligence-has-evolved-in-the-advertising-industry/
… #ArtificialIntelligence #AI #Advertising #MachineLearning #DataScience #innovation #IoT #DigitalMarketing #100DaysOfCode #technology #programming #DigitalTransformation