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How to Use Generative AI and LLMs to Improve Search

TechEmpower SaaS

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.

AI Search 519
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Context.ai - Unlocking Insight into LLM-Based Applications

Tom Tunguz

Large-language models have transformed how millions interact with products : from customer support to code generation to legal document analysis. These new engagement models invite users through a meaningfully different product journey. Understanding user behavior is essential to building great products.

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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. These bots help businesses deliver both radical efficiencies and better, faster support experiences. A big risk with a project like this is always end user experience.

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5 Key Learnings from How Top SaaS Companies are Actually Productizing AI with Paragon

SaaStr

Why LLM Wrappers Failed – And What Works Instead The first wave of AI products were mostly “LLM wrappers” – simple chatbots built on top of models like GPT. Here’s what Brandon Fu (CEO, Paragon) and Ethan Lee (Director of Product) shared at SaaStr AI Day about what’s actually working: 1.

AI 242
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Generative AI – The End of Empty Textboxes

TechEmpower SaaS

The point is, empty textboxes aren’t just intimidating, they can significantly impact user engagement and conversion rates. 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.

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Cutting Through the Noise of Gen AI with CEOs of Writer, Orby and Limitless + NEA

SaaStr

Their innovative approach involves a wearable device that captures and contextualizes user interactions, creating a personalized AI assistant that promises to enhance individual productivity in unprecedented ways. The biggest headwinds to mass AI adoption are literacy, fear, and user experience.

AI Search 244