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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. The information provided was all pulled from data he’s already entered - just Mark, Houston, Math Teacher, Teach for America.

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Want to Put AI to Work? Prime Your Organization With These 5 Shifts

Planview

Here’s the experience that the panelists and moderator bring to the table: Sejal Amin, Chief Technology Officer at Shutterstock, stepped into her role in November 2022, just when Shutterstock was making their data deal with OpenAI. A data governance framework develops trust between you and your customers.

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53 Questions Developers Should Ask Innovators

TechEmpower Innovation

Still, if you’re a business leader and your developers haven’t asked you these questions, look for a Fractional CTO to help navigate the critical early stage of development. Do you have a custom algorithm or other technology? What special data, content, APIs, etc., Member Profiles What data is included?

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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

Planview

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?

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How Chief Innovation Officer (CINO) may replace the traditional Chief Information Officer (CIO)

hackerearth

The survey collected data from 3,160 CIOs in 98 countries, covering all major industries. When the Internet arrived 20 years ago, it necessitated roles such as the Chief Technology Officer (CTO) and Chief Information Officer (CIO). But only 14 percent say that they can do it well.

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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.