Deploy CogVLM, a powerful GPT-4V alternative, on AWS with this step-by-step technical guide. Learn how to set up and run a self-hosted AI model, gaining independence from standard APIs and enhancing your computer vision capabilities.
Chapters:
- 00:00 Intro
- 00:40 Introduction to CogVLM
- 01:43 Setting Up the AWS Infrastructure
- 03:56 Configuring the Inference Server
- 05:41 Running Inference and Testing the Model
- 09:08 Outro
Resources:
- Roboflow: roboflow.com
- Roboflow Universe: universe.roboflow.com
- How to Deploy CogVLM on AWS blog post: blog.roboflow.com/how-to-depl...
- GPT-4 Vision Alternatives blog post: blog.roboflow.com/gpt-4-visio...
- Inference Server code: github.com/roboflow/inference
- CogVLM Client code: github.com/roboflow/cog-vlm-c...
- CogVLM: Visual Expert for Pretrained Language Models arXiv paper: arxiv.org/abs/2311.03079
- CogVLM code: github.com/THUDM/CogVLM
- Multimodal Maestro GitHub: github.com/roboflow/multimoda...
- Multimodal Maestro: Advanced LMM Prompting blog post: blog.roboflow.com/multimodal-...
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5 авг 2024