Commission releases Research API to facilitate the programmatic analysis of data in the Digital Services Act’s Transparency Database | Shaping Europe’s digital future https://
digital-strategy.ec.europa.eu/en/news/commis
sion-releases-research-api-facilitate-programmatic-analysis-data-digital-services-acts
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#DSA #Digitaleu #innovation #technology #digital #europe @DigitalEU @elaniazito
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EU Commission Releases Research API for Digital Services Act Transparency
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Comparative Analysis of AI Regulations in U.S., EU, China
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1. Comparative Analysis of AI Regulation Across Countries
— God of Prompt (@godofprompt) 24 février 2025
"Conduct a deep comparative analysis of AI regulations in the U.S., EU, and China. Explore their approaches to data privacy, AI safety, and ethical considerations. Provide citations and highlight key differences and… pic.twitter.com/V9iE5clDV31. Comparative Analysis of AI Regulation Across Countries "Conduct a deep comparative analysis of AI regulations in the U.S., EU, and China. Explore their approaches to data privacy, AI safety, and ethical considerations. Provide citations and highlight key differences and
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Comparative Analysis of AI Regulations in US, EU, and China
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1. Comparative Analysis of AI Regulation Across Countries
— God of Prompt (@godofprompt) 24 février 2025
"Conduct a deep comparative analysis of AI regulations in the U.S., EU, and China. Explore their approaches to data privacy, AI safety, and ethical considerations. Provide citations and highlight key differences and… pic.twitter.com/V9iE5clDV31. Comparative Analysis of AI Regulation Across Countries "Conduct a deep comparative analysis of AI regulations in the U.S., EU, and China. Explore their approaches to data privacy, AI safety, and ethical considerations. Provide citations and highlight key differences and
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Agentic AI: The Next Major Retail Disruption
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Forget ChatGPT: Why Agentic AI Is The Next Big Retail Disruption #AgenticAI is poised to revolutionize #ecommerce through autonomous #shopping assistants, dynamic pricing, and automated #supplychain management, with major players like #Amazon and #Salesforce already deploying
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Unhinged LLM fallback for content moderation annotation
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Working on self-contained ones as separate posts but a general one: I work with content moderation datasets. I often send big CSV of offensive filth to an LLM to annotate and get back refusals or quasi-refusals. Any competent "unhinged" fallback LLM saves me work.
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Leveraging AI to Build Trust With High-Consideration Prospects
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How To Leverage AI To Build Trust With High-Consideration Prospects
#AI #AIio #BigData #ML #NLU #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
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Databricks Fundamentals Badge Training Free One Hour
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Have an hour to spare? Earn your Databricks Fundamentals badge today! In one hour, this free training will give you the basic skills needed to start leveraging AI throughout your data processes. Start training today: https://
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Getting Data Right Before Using AI In Business
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The Importance Of Getting Data Right Before Using AI In Your Business
#AI #AIio #BigData #ML #NLU #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu http://
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AI & Machine Learning Model for House Price Prediction
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3. AI & Machine Learning Model Development
— God of Prompt (@godofprompt) 23 février 2025
Prompt:
"Develop a machine learning model in Python that predicts house prices based on location, square footage, and amenities. Use Pandas, Scikit-Learn, and Matplotlib to train, test, and visualize the results." pic.twitter.com/bvtSalnioP3. AI & Machine Learning Model Development Prompt: "Develop a machine learning model in Python that predicts house prices based on location, square footage, and amenities. Use Pandas, Scikit-Learn, and Matplotlib to train, test, and visualize the results."
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GenAI Production Challenges: Data Quality and Governance Issues
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GenAI’s potential is huge—but real challenges remain. 67% of data leaders struggle to move GenAI from pilot to production. Why? 43% cite data quality and readiness issues 56% struggle with data reliability 45% worry about responsible AI governance As 2025 sees