Recipes for on-device VLM (image input LLM)
📰 Medium · LLM
Learn how to build on-device Visual Language Models (VLM) that can identify objects in images and respond to questions
Action Steps
- Build a VLM model using a pre-trained LLM and fine-tune it on a dataset of images with captions
- Run experiments to evaluate the performance of the VLM model on various image recognition tasks
- Configure the VLM model to work on-device, optimizing for latency and memory usage
- Test the VLM model with different types of images and questions to assess its robustness
- Apply the VLM model to real-world applications, such as image search or visual question answering
Who Needs to Know This
AI engineers and researchers can benefit from this article to develop more accurate and efficient VLMs, while product managers can explore new applications for these models
Key Insight
💡 On-device VLMs can enable more private and efficient image recognition and question answering, with potential applications in various industries
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📸🤖 Build on-device VLMs that can identify objects in images and respond to questions! #LLM #VLM #AI
Key Takeaways
Learn how to build on-device Visual Language Models (VLM) that can identify objects in images and respond to questions
Full Article
There’s an AI you can show a photo to and ask: “what is this?” — and it will reply, “Looks like a wooden dining table. Two mugs on it; one… Continue reading on Medium »
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