CogVLM, a Revolutionary Multimodal Model Introducing Deep Fusion
Last Updated on November 18, 2023 by Editorial Team
Author(s): Ignacio de Gregorio
Originally published on Towards AI.
Solving the Shallow Alignment Issue
Top highlight
A group of researchers has presented a new model that revolutionizes the current multimodal AI design standards while blowing almost all competition out of the water.
They introduce an innovative concept, Deep Fusion, a new design primitive that mitigates the biggest problem faced by Multimodal Large Language Models (MLLMs) today, the “shallow alignment problem”.
If it were to deliver on its potential, the CogVLM model could become a seminal research paper that will draw the attention of researchers around the world to create a new family of MLLMs, deep fusion models.
The actual results? Impressive capabilities like coding math problems from images,… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
