Data Science

How should an A.I. startup find product-market fit? How do some A.I. startups become spectacularly successful?

In February 2024, Kirill Eremenko was on the SuperDataScience Podcast hosted by our Chief Data Scientist, Jon Krohn, to detail Decoder-Only Transformers (like the GPT series). It was Jon’s most popular episode ever, so Kirill came right back to detail an even more sophisticated architecture: Encoder-Decoder Transformers.

Cole Nussbaumer Knaflic’s book, “storytelling with data”, has sold over 500k copies… wild!

A.I. is not just a tool, but a driving force in reshaping the landscape of science.

 One of our Nebula co-founders, Ed Donner, has carried out a fascinating project: He fine-tuned an open-source LLM on his text-message history, eerily effectively simulating not only himself but anyone who’s messaged him >1000 times.

How can data science and machine learning power the transition toward a sustainable global economy? The ML leader (and exceptional communicator of technical concepts!) Emily Pastewka is our Chief Data Scientist, Jon Krohn’s, SuperDataScience guest to fill us in on Green Data Science.

For this SuperDataScience episode hosted by our Chief Data Scientist, Jon Krohn, the indefatigable SuperDataScience Founder Kirill Eremenko gives a detailed technical intro to Transformers and how they’re scaled up to allow Large-Language Models like GPT-4, Llama 2 and Gemini to have their mind-blowing abilities.

What are the big A.I. trends going to be in 2024?

Want to integrate Conversational A.I. (“chatbots”) into your business and ensure it’s a (profitable!) success?

This SuperDataScience episode hosted by our Chief Data Scientist, Jon Krohn, is all about a rumored new model out of OpenAI called Q* (pronounced “Q star”) that has been causing quite a stir, both for its purported role in Altmangate and its implications for Artificial General Intelligence (AGI).