An In-Depth Exploration of Vision Language Models | 5min snip from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Teaching AI to See: A Technical Deep-Dive on Vision Language Models with Will Hardman of Veratai

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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CHAPTER

An In-Depth Exploration of Vision Language Models

This chapter provides an in-depth look at the evolution of vision language models, from initial methods to modern architectures like Intern VL and Llama 3V. It discusses key architectural considerations and instruction tuning methods, offering insights into their applications and recent advancements in AI technology.

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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)