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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

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 - Product Management

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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Announcing Intercom’s new AI features

Intercom, Inc.

Suddenly it seemed that generative AI might transform industries from education to marketing. However, getting from technological breakthrough to useful applications is far from straightforward. The trickiest thing about large language models (LLMs) is that they’re great at appearing plausible, even when they’re wrong. .

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March Madness, AI Style

Crafty CTO

AI acceleration Looking at March AI news from high above, what stands out to me is acceleration, possibly even exponential acceleration. Today’s acceleration is happening in the AI subspace I call Text AIs , which are based around Large Language Models (LLMs).

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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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Expert Spotlight: Marc Brown – Navigating Ambiguity And Building Conviction

Arkenea

Marc Brown, HealthTech Founder and CTO with 20 years of experience building products and leading engineering teams talks about agentic workflows in healthcare, staying curious to foster innovation in tech teams and qualities that make a successful CTO. How do you see the role of technology evolving in patient care over the next decade?

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Expert Spotlight: Renu Gehring – AI “A Set Of Russian Dolls”

Arkenea

Renu Gehring, a technology leader with 20 years of experience in creating healthcare solutions that solve healthcare problems, talks about data science and technology in healthcare, leading from the front and 5 key skills for succeeding as a healthcare CTO. AI is the largest doll, containing ML as the next smaller doll.