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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.

AI Search 519
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Which Increases Productivity More : The Advent of Personal Computer or a Large-Language Model?

Tom Tunguz

” That’s the conclusion from OpenAI’s recent paper “ GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. ” How much might US GDP grow assuming large-language models enable US workers to do more? The BEA estimates US GDP is $26.2t.

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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.

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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. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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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 247
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5 Interesting Learnings from Palantir at $2.7 Billion in ARR

SaaStr

Artificial Intelligence Platform (AIP) is a Year Old But Fueling $159m in Q2 Bookings Alone To some Cloud and SaaS leaders, AI is a table-stakes addition. And a true engine of growth. #9. Pretty impressive. #2. But for Palantir, it’s a true accelerant. #3. Is you new customer count growing > 20%?

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.

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5 Things You Always Wanted to Know About Automating Data Science, But Never Asked!

Speaker: Judah Phillips, Co-CEO and Co-Founder, Product & Growth at Squark

In the 30 minute webinar, you’ll learn: How machine learning and augmented AI play a role in delivering your predictive results. What each model class is and how they're different from one another. What feature engineering means, how it's applied to your data, and what it does.