article thumbnail

Machine learning isn?t as hard as it looks

Intercom, Inc.

It’s easy to believe that machine learning is hard. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language. Wikipedia (e.g.

article thumbnail

8 More SaaS Tools and Freebies For All Your WFH Needs

SaaStr

UruIT’s Free Machine Learning Consultation. Click here for UruIT’s Free Machine Learning Consultation – join a discovery session with our Machine LEarning engineers to identify opportunities of improvement by applying ML in your SaaS. Where can I find the deal? What are they all about?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Machine Learning in Consumer Products

Tom Tunguz

I believe machine learning will drive the next big wave of innovation in consumer web services. For machine learning to create magic the the technology requires large amounts of data, the infrastructure to process the data and the algorithms to extract learning.

article thumbnail

How to Improve Your LLM : Combine Evaluations with Analytics

Tom Tunguz

Real-world testing looks like this , asking LLMs to produce Dad jokes like this zinger : I’m reading a book about gravity & it’s impossible to put down. The future of LLM evaluations resembles software testing more than benchmarks.

article thumbnail

The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Why AI Matters to VCs Over the last decade, each type of machine learning has developed and grown, with generative AI becoming the most recent. Goldman Sachs predicts that the contribution of machine learning to GDP would fall somewhere between 1.5 – 2.9%. SaaStr Workshop Wednesdays are LIVE every Wednesday.

article thumbnail

AI Superpowers - A History of Chinese Startups and the Implications for the Future of Startupland

Tom Tunguz

Kai-Fu Lee’s book, AI Superpowers , provides some of the best history and perspective on the Chinese startup ecosystem I’ve read. There are two ideas in the book that will remain with me. There are two ideas in the book that will remain with me. The first is his view of the influence of machine learning in the world.

AI 174
article thumbnail

What about Human Training?

Tom Tunguz

Scott Page, a professor from the University of Michigan, wrote a book The Diversity Bonus , championing the idea of cognitive diversity. What if adding a machine learning agent to a decision-making process improves that cognitive diversity?