Foundation Models Entered the Vision Conversation, but Industrial Evidence Remained Early

Relationship to Annual Outlook: Unexpected Development

12/19/2023

Summary

Recent evidence suggests foundation models and large vision models are beginning to enter the computer vision toolchain. However, the evidence remains concentrated around model workflows, transformer optimization, fine-tuning guidance and domain-specific tooling rather than broad factory deployment.

Supporting Evidence

Evidence Base

12 Jan 2023 — From DALL·E to Stable Diffusion: How Do Text-to-Image Generation Models Work?
https://www.edge-ai-vision.com/2023/01/from-dall%c2%b7e-to-stable-diffusion-how-do-text-to-image-generation-models-work
9 Oct 2023 — The Guide to Fine-tuning Stable Diffusion with Your Own Images
https://www.edge-ai-vision.com/2023/10/the-guide-to-fine-tuning-stable-diffusion-with-your-own-images
25 Oct 2023 — A Guide to Optimizing Transformer-based Models for Faster Inference
https://www.edge-ai-vision.com/2023/10/a-guide-to-optimizing-transformer-based-models-for-faster-inference
16 Nov 2023 — The Foundation Models Reshaping Computer Vision
https://www.edge-ai-vision.com/2023/11/the-foundation-models-reshaping-computer-vision
19 Dec 2023 — Landing AI Announces Tool for Domain-Specific Large Vision Models
https://www.vision-systems.com/boards-software/article/14302822/landing-ai-announces-tool-for-domain-specific-large-vision-models

Why It Matters

This is an important new software signal, but it should not be overstated. Foundation models may eventually reduce vision deployment friction, but 2023 evidence points to toolchain exploration rather than industrial maturity.

Technology Themes

Foundation Models, Large Vision Models, Vision Software, Edge AI

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