AI Crash Course

a series within Ubiquity University

Here is our "AI Crash Course" Series of educational videos/modules to bring you up to speed on artificial intelligence (AI) and machine learning (ML) in 5 short vidoes.

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πŸ’» Technical
Series: AI Crash Course

Ubiquity Extended Team member Amol Kapoor begins this Intro to AI Series with an explanation of 3 foundational concepts of machine learning: features, embeddings, and losses.

Duration:
9 minutes
Upload Date:
9/18/2023
πŸ’» Technical
Series: AI Crash Course
New

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.

Duration:
19 minutes
Upload Date:
10/6/2023
πŸ’» Technical
Series: AI Crash Course

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.

Duration:
3 minutes
Upload Date:
9/18/2023
πŸ’» Technical
Series: AI Crash Course

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.

Duration:
2 minutes
Upload Date:
9/18/2023
πŸ’» Technical
Series: AI Crash Course

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.

Duration:
4 minutes
Upload Date:
9/18/2023
πŸ’» Technical
Series: AI Crash Course

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".

Duration:
3 minutes
Upload Date:
9/18/2023