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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. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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The AI API : The Twilio Moment for Machine Learning

Tom Tunguz

Training, deploying, & optimizing machine learning models has historically required teams of dedicated researchers, production engineers, data collection & labeling teams. Even fully staffed, teams required years to develop models with reasonably accurate performance. Today, it’s a matter of days or weeks.

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The Promise and Pitfalls of Chaining Large Language Models for Email

Tom Tunguz

Over the last few weeks I’ve been experimenting with chaining together large language models. Recently, I started using Whisper for drafting emails and documents. Bad data from the transcription -> inaccurate prompt to the LLM -> incorrect output. I dictate emails & blog posts often.

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5 Things That Are Actually Working and 5 Things That Aren’t in B2B SaaS AI with Ironclad’s CEO and a16z

SaaStr

Ironclad CEO and co-founder Jason Boehmig joined Seema Amble, Partner at Andreessen Horowitz at SaaStr Annual to share their observations on what’s currently working and what’s not quite there yet for Artificial Intelligence (AI) in SaaS. Success stories include: Transcription and note-taking (e.g.,

AI Search 278
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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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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. is a product analytics platform for LLM-powered applications.

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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.

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