Encord Blog
How to build Semantic Visual Search with ChatGPT & CLIP
OpenAI’s ChatGPT and CLIP releases have revolutionised the ways in which organisations and individual contributors can ship features to their users. At Encord, we’ve focused on how the neural network (CLIP) and LLM (ChatGPT) can be combined to build an effective and powerful Semantic Visual Search.
Frederik Hvilshøj, Lead ML Engineer with a PhD in Generative AI, joins Eric Landau, CEO and Co-Founder of Encord, to provide actionable insights into how to build this function from scratch.
Here are the key resources from the webinar:
- Collaboration notebook used by Frederik
- CLIP [paper/repo]
- ChatGPT [product updates, documentation]
- Encord blog: Lessons Learned: Employing ChatGPT as an ML Engineer for a Day
- Encord blog: What is vector similarity search?
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