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Do Large Language Models Dream of Knowledge Graphs – Impressions from Day 2 At SEMANTiCS 2023

Ontotext

I learned that fact from a comment in the audience on the second day of SEMANTICS 2023 – the European conference series focused on semantic technologies ever since 2005. Aidan Hogan at SEMANTiCS 2023. I didn’t either. What If ChatGPT Is the Killer App for the Semantic Web?

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Reflections on the Knowledge Graph Conference 2023

Ontotext

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. The post Reflections on the Knowledge Graph Conference 2023 appeared first on Ontotext.

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5 Key Takeaways from #Current2023

Cloudera

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. I will cover key takeaways from Current 2023 and offer Cloudera’s perspective. This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there.

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5 ways to deploy your own large language model

CIO Business Intelligence

“It’s all about employee training,” he says, “and making sure they understand what they need to do, and they’re well trained on data security.” And in a July report from Netskope Threat Labs, source code is posted to ChatGPT more than any other type of sensitive data at a rate of 158 incidents per 10,000 enterprise users per month.

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NVMe vs. SATA: What’s the difference?

IBM Big Data Hub

Unlike magnetic storage (such as HDDs and floppy drives) that store data using magnets, solid-state storage drives use NAND chips, a non-volatile storage technology that doesn’t require a power source to maintain its data. What is NVMe?