Unveiling Vision Language Models

This chapter explores the evolution of vision language models and their significance in the quest for artificial general intelligence. It covers the transition from convolutional neural networks to vision transformers, detailing the mechanisms of tokenization and multimodality in AI applications.

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In this episode of The Cognitive Revolution, Nathan hosts Will Hardman, founder of AI advisory firm Veritai, for a comprehensive technical survey of vision language models (VLMs). We explore the evolution of VLMs from early vision transformers to state-of-the-art architectures like InternVL and Llama3V, examining key innovations and architectural decisions. Join us for an in-depth discussion covering multimodality in AI systems, evaluation frameworks, and practical applications with one of the field's leading experts.

Here's to the link to one of the most comprehensive reference documents for VLMs prepared by Will Hardman: https://dust-mailbox-c73.notion.site/Vision-Language-Models-11b675d75dd480af994cc474a754bb26

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CHAPTERS:

(00:00:00) Teaser

(00:00:55) About the Episode

(00:05:45) Introduction

(00:09:16) VLM Use Cases

(00:13:47) Vision Transformers (Part 1)

(00:17:48) Sponsors: Oracle Cloud Infrastructure (OCI)

(00:19:00) Vision Transformers (Part 2)

(00:24:58) OpenAI's CLIP Model

(00:33:44) DeepMind's Flamingo (Part 1)

(00:33:44) Sponsors: 80,000 Hours

(00:35:17) DeepMind's Flamingo (Part 2)