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OpenAI Revolutionizes ChatGPT Conversations with GPT Mentions

Analytics Vidhya

OpenAI, the AI powerhouse behind ChatGPT, silently introduces an innovative feature called GPT Mentions, offering users a seamless way to integrate custom GPTs or bots into conversations.

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Artificial Intelligence in Sports: Generating Match Highlights With AI

Analytics Vidhya

Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit. But what if there […] The post Artificial Intelligence in Sports: Generating Match Highlights With AI appeared first on Analytics Vidhya.

Analytics 283
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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. I am fascinated and passionate about helping manufacturers leverage Gen AI-fueled edge deployments that break through legacy Industry 4.0

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

Each job also has an associated user-defined cost allocation tag that we use to create a data quality cost report in AWS Cost Explorer later on. In the Tags section, define dqjob tag as rs5. This tag will be different for each of the data quality ETL jobs; we use them in AWS Cost Explorer to review the ETL jobs cost.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

This is accomplished through tags, annotations, and metadata (TAM). My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Tagging and annotating those subcomponents and subsets (i.e., Smart content includes labeled (tagged, annotated) metadata (TAM).

Strategy 266
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The Quality of Auto-Generated Code

O'Reilly on Data

That could be what the future holds: an understanding of “prompt engineering” that lets us tell an AI system precisely what we want a program to do, rather than how to do it. Testing would become much more important, as would understanding precisely the business problem that needs to be solved. And again, do we care, and why?

Testing 300
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Glossaries of Data Science Terminology

Rocket-Powered Data Science

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Summary of AI Terms. AI Glossary at Science Magazine. The Essential AI Glossary of Terms. Data Science Glossary.