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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. That blurb, and the following examples, were all generated from GPT in only a few seconds, at a cost of less than one penny.

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

Planview

Pair these considerations with internal and external pressures to rapidly adopt generative AI and scale it, and leveraging AI is easier said than done. To provide insight into those concerns, we spoke with a group of experts about AI’s challenges and opportunities.

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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. Scott leads the team behind GitHub Copilot , the AI developer tool for pair programming. Be sure to subscribe to learn when new episodes are released.

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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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Top 8 Digital Workplace Trends for 2019

Acuvate

As workplace demographics are transforming, employers struggle to match the evolving needs of a multi-generational workforce. New digital technologies have improved the way we analyze data, collaborate with employees, communicate and make decisions. Learn More: The Role of Chatbots in the Intranet.

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A Brief History of AI: From Neural Networks to ChatGPT

Planview

Artificial Intelligence (AI) often seems like an overnight success story, but its roots stretch back more than 80 years. The journey from the inception of neural networks to the sophistication of ChatGPT is a fascinating one, marked by significant milestones, technological advancements, and cultural shifts.