Ranked: Top 50 #Data Center Markets by Power Consumption
by @JuliePeasley @VisualCap Read more: https://
buff.ly/48qqH8f #BigData #ArtificialIntelligence #MI #DataScience cc: @terenceleungsf @yvesmulkers @pascal_bornet
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Top 50 Data Center Markets Ranked by Power Consumption
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AI Ethics for Data Journalism: Handling Sensitive Source Material
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I think I may be particularly sensitive to this because I want to apply this stuff to data journalism, and the sources journalists work with frequently contain unpleasant material
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LLM Corporate Use Cases: Data Extraction Over Safety Trade-offs
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I wonder about that: if you're building public-facing chatbots then sure, you want everything as safe as possible – but from what I've seen the most valuable corporate use-case for LLMs is structured data extraction, where any denials are just a huge nuisance
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Data Engineers: Specialized Software Developers with Distinct Language and Stack
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data engineer is also still working with software. but has specialized to such an extreme that they speak a different language and have an expected baseline stack familiarity very different than regular software eng. in future (arguably now) you should be able to talk to an ai
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Vector Databases: Exploring Beyond Initial Coverage
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And yes, to be clear, there are a lot more VDBs than what show up in the post! I only have so many minutes in the day to talk to as many people as I can. If you're working on the problem please feel free to DM me because I want to talk to you!
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Long-Context Windows vs RAG: Finding the Middle Ground
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And then there's the emergence of long-context windows and whether *they* will also offer an alternative to RAG. But the reality is, once again, probably somewhere in the middle! Here's what @brittwalker_ told me.
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Vector Databases: Standalone Solutions vs Enterprise Platforms
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Since then a lot has changed! Particularly because MongoDB, Snowflake, Databricks, and others have launched their own vector search products. But that doesn't mean standalone vector DBs are going away—here's how @bobvanluijt described it to me.
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Vector Databases Evolution: One Year After ChatGPT
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One of my first issues for Supervised (almost a year ago!!) was covering the hype around vector databases following the release of ChatGPT and, perhaps more importantly, the leak of Llama 1. I felt this was as good a time as any to check back in on how things have developed.
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Six Key Steps for Enterprise Cloud Adoption Strategy
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Six key steps for enterprise-wise #Cloud adoption
by @antgrasso #CloudComputing #AI #BigData #ArtificialIntelligence #ML #MI #DataScience cc: @pbalakrishnarao @rtehrani @pascal_bornet -
European Data Flow Monitoring Shaping Digital Future
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The European Data Flow Monitoring | Shaping Europe’s digital future https://
europa.eu/!9vp7Xm
#digitaleu #data #digital #innovation #technology @Fabriziobustama @Khulood_Almani @CurieuxExplorer @SpirosMargaris @Shi4Tech @DigitalEU @ArturHabant @elaniaz @PawlowskiMario @enilev