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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

A product manager today faces a key architectural question with AI : to use a small language model or a large language model? the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. The pace of innovation in the field clouds the answer.

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When AI Favors the Incumbents

Tom Tunguz

In his most recent earnings conference call, Microsoft’s Satya Nadella said “Every product of Microsoft will have some of the same AI capabilities to completely transform the product.” ” Today, Microsoft Teams launched AI features in Teams for a fee. Mobile, cloud, social - startups led each of those waves.

AI 190
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How to Use Machine Learning to Improve Your Digital Marketing

Neil Patel

Machine learning is on the verge of transforming the marketing sector. According to Gartner , 30% of companies will use machine learning in one part of their sales process by 2020. In other words, machine learning isn’t just for computer scientists. What Is Machine Learning?

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What Builders Talk About When They Talk About AI

Andreessen Horowitz

And the broad impact of this wave of AI is already creating the sort of massive value we’ve seen with other platform shifts, like the internet, mobile, cloud. Here are the top 16 things we learned. AI today 1. While previous AI cycles had plenty of technological advances, they lacked transformative economics.

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8 of the Best AI Productivity Tools to Help You Optimize How You Work

Buffer Resources

  Enter: these AI productivity tools, all of which help me streamline, automate, and optimize as much as possible. Not only can these nifty AI apps and tools help you boost productivity by organizing your time and tasks better, but they can also use machine learning to do some of those time-consuming or repetitive tasks for you.

AI Search 101
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How AI in analytics is transforming the way marketers work

Unbounce

The answer: AI, baby. Specifically, AI analytics. And that’s the point: AI’s ability to process so much data at incredible speeds makes a lot of today’s digital experiences possible. The more AI observes, the more it learns and improves. There’s a lot to cover here, so let’s dive right in: What is AI analytics?

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The Economic Case for Generative AI (presentation)

Andreessen Horowitz

This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.