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How to Use Generative AI and LLMs to Improve Search

TechEmpower Innovation

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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Generative AI – The End of Empty Textboxes

TechEmpower Innovation

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.

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Unlocking Developer Productivity (and Happiness) with AI: GitHub’s Scott Densmore

Planview

Join Dr. Mik Kersten, CTO at Planview, and Scott Densmore, VP of Engineering at GitHub, in dreaming about this realistic vision for the future in this Mik + One podcast episode. Engineers have continuously tried different ways to get rid of code, and AI makes it seem like that’s in view. Who is Scott Densmore?

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Trends in AI: Should You View Data as a Product?

Planview

Panelists Sejal Amin, Chief Technology Officer at Shutterstock; Jana Eggers, CEO of Nara Logics; Razat Gaurav, CEO of Planview; and Dr. Rich Sonnenblick, Chief Data Scientist at Planview, were joined by moderator Ray Wang, Principal Analyst and Founder of Constellation Research, Inc. Should you follow suit?

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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A Strategic Imperative for Anticipatory Leaders Is Cognitive Performance

Daniel Burrus

In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes , to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.). engineer outcomes with greater clarity.

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Forms Automation using Azure Form Recognizer

Acuvate

Azure Form Recognizer leverages advanced machine learning technologies to extract text, key-value pairs, line items, structures, and tables from documents. In Microsoft’s own words, Azure Cognitive Services Form Recognizer is an “AI-powered document extraction service that understands your forms.”.