Ubiquity University

Ubiquity Extended Team member Andre Neumann-Loreck shares how startup CEOs and executives can ensure they scale as the startup scales (vs. management by trial & error) -including the benefits, the right time to engage, the time involved, and the cost.

Ubiquity Extended Team member Amol Kapoor explains how LLMs (large language models) can be thought of a higher level programming language (vs. C, C++, etc). Voyager is an agent using multiple LLMs that can play Minecraft given plain English direction.

In this session, Ubiquity Extended Team member Andre Neumann-Loreck will talk through how to manage outsourced production (alignment, building mindshare with your contract manufacturer, and dealing with misaligned incentives).

Ajay Varia discusses his learnings, transitioning from an engineer to a leader, and shares his thoughts on how to build a strong company culture from even the earliest stages of a startup's life.

Martin Gontovnikas (aka "Gonto") was Auth0 from seed through to a $6.5 billion exit as SVP, Marketing and Growth. Gonto shares where product-led growth (PLG) vs. a top-down go-to-market (GTM) model makes sense.

Every founder has a story, and every reporter gets flooded by PR pitches every day. Amy Jackson shares TripIt’s high-performing PR program was built by getting it into the hands of the people who need it most.

Matt Makai of the Ubiquity Extended Team dives into what developer-led sales is, the dream vs. the reality, and marketing and sales tactics to make it successful.

Ubiquity Extended Team member and serial entrepreneur Rami Essaid shares his tips for managing your board, especially as it shifts over time.

Ubiquity Extended Team member Amol Kapoor continues this Intro to AI Series with an explanation of the CLIP model for guided image generation. This model generates an embedding space where images and descriptive text are near one another.

Ubiquity Extended Team member Amol Kapoor explains how the ML model Stable Diffusion works by training a model to successively remove noise from an image. Now, when you feed in new noisy images along with a text prompt, you get a polished image as output.

Ubiquity Extended Team member Amol Kapoor explains now the machine learning model NeRF is able to predict views of a 3-dimensional view given a set of 2-dimensional views of a scene or object.

Ubiquity Extended Team member Amol Kapoor explains how GPT and Large Language Models (LLMs) work by outputting probabilities of what the next most likely word is using the concept of "attention".