# CogLVM Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/coglvm
> Markdown URL: https://aitinkerers.org/technologies/coglvm.md
> Technology record last updated: 2026-03-03T01:10:32Z
> Generated: 2026-10-22T18:45:49Z

CogVLM is a powerful, open-source Visual Language Model (VLM) that achieves state-of-the-art performance across 17 cross-modal benchmarks.

CogVLM is an open-source visual language foundation model, engineered for deep vision-language feature fusion. The architecture employs a trainable 'visual expert module' inserted into the attention and FFN layers, specifically bridging a frozen pretrained language model (like Vicuna1.5-7B) with an image encoder (like EVA2-CLIP-E). This design avoids sacrificing NLP performance while enabling robust multimodal capabilities. The CogVLM-17B variant (10B vision parameters, 7B language parameters) delivers state-of-the-art results on 17 classic cross-modal tasks, including VQA, image captioning, and visual grounding. It supports complex functions: multi-turn image dialogue and precise visual grounding.

- Official technology site: https://github.com/THUDM/CogVLM
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Multimodal Maestro with GPT-4 Vision](https://sf.aitinkerers.org/talks/rsvp_5dtCu0fp6a8)

- Event context: AI Tinkerers SF X Cerebral Valley - Dec Meetup — 2023-12-04 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_5dtCu0fp6a8

## Related Technologies

- [GPT-4 Vision](https://aitinkerers.org/technologies/gpt-4-vision) ([Markdown](https://aitinkerers.org/technologies/gpt-4-vision.md)) — 2 public demos
- [LLaVA](https://aitinkerers.org/technologies/llava) ([Markdown](https://aitinkerers.org/technologies/llava.md)) — 5 public demos
- [Segment Anything Model](https://aitinkerers.org/technologies/segment-anything-model) ([Markdown](https://aitinkerers.org/technologies/segment-anything-model.md)) — 5 public demos
- [Set of Marks](https://aitinkerers.org/technologies/set-of-marks) ([Markdown](https://aitinkerers.org/technologies/set-of-marks.md)) — 1 public demo