CogVLM & CogAgent

CogVLM and CogAgent are powerful open-source visual language models that excel in image understanding and multi-turn dialogue. CogVLM-17B achieves state-of-the-art performance on various cross-modal benchmarks, showcasing its robust capabilities in image captioning, visual question answering, and grounding tasks. CogAgent-18B, an improved version, further enhances these abilities and introduces GUI Agent functionalities, enabling interactions with high-resolution images and performing tasks on GUI screenshots.

Key Features:

1️⃣ Image Understanding & Dialogue (CogVLM-17B):

• 🖼️ Handles image understanding and generates detailed descriptions.

• 💬 Engages in multi-turn dialogues with visual context.

2️⃣ GUI Agent & Enhanced Abilities (CogAgent-18B):

• 🖥️ Supports high-resolution image inputs (1120x1120) for better visual understanding.

• 👨‍💻 Possesses GUI Agent capabilities, performing tasks and answering questions related to GUI screenshots.

• 📚 Demonstrates improved OCR-related capabilities through specialized training.

3️⃣ Grounding & Multiple Dialogue Modes:

• 📍 Provides image descriptions with bounding box coordinates for objects.

• 🔎 Retrieves bounding box coordinates based on object descriptions.

• 📝 Generates descriptions from specified bounding box coordinates.

Use Cases:

• 🤖 Natural Language Visual Reasoning:CogVLM and CogAgent excel in tasks that require visual understanding and language generation, such as image captioning, visual question answering, and grounding tasks.

• 💻 GUI Interaction and Automation:CogAgent's GUI Agent capabilities make it suitable for tasks involving interactions with GUI screenshots, such as web pages, applications, and software.

• 📚 Question Answering with Visual Context:Both models can answer questions related to images, providing informative responses that leverage their understanding of the visual context.

• 📝 Language Generation with Visual Input:Given an image, CogVLM and CogAgent can generate detailed descriptions, stories, or dialogue that are coherent with the visual content.

Conclusion:

CogVLM and CogAgent are versatile visual language models that combine image understanding, multi-turn dialogue, and GUI Agent functionalities. Their powerful capabilities make them valuable assets for various applications, including natural language-based visual reasoning, GUI interaction and automation, question answering with visual context, and language generation with visual input.