Foundations of AI Image Generation

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The foundational techniques of AI image generation involve teaching the model to recognize images and text together by processing images with a tokenizer or encoder to convert them into vectors (embeddings), doing the same for text, and then combining the two vectors through algebra. This approach enables the model to answer questions like explaining the content of an image based on text or generating an image from text.

This week, we have a special episode for you! There has been so much talk about AI over the last year or two, but not a lot of explanations. What is AI? What is the difference between AI and Machine Learning? How do they work? David sat down with Danu Mbanga, Director of Generative AI Solutions at Google, to get to the bottom of it all. This talk switches between a general overview of AI and an in-depth discussion about the meaning of intelligence. Danu has years of experience in this field so we hope you learn as much as we did! Enjoy.

Links:

Attention Is All You Need Paper: https://bit.ly/attentionisallyouneed

IBM k-nearest neighbors: https://ibm.co/3S6hdtm

Follow Danu Mbanga:

Threads: https://www.threads.net/@devchiral

X: https://twitter.com/dmbanga

Shop the merch:

https://shop.mkbhd.com

Instagram/Threads/X:

Waveform: https://twitter.com/WVFRM

Waveform: https://www.threads.net/@waveformpodcast

Marques: https://www.threads.net/@mkbhd