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deepmind.google·6d ago
AI Engineering
Google AI Blog·Jun 3·4 min read
5 ways Google Search can level up your thrift and vintage shopping
TL;DR
Researchers identified a gap in LLM evaluation benchmarks. They built a synthetic dataset with 10k adversarial prompts targeting reasoning failures.
✦ Why It Matters
Use this benchmark to audit LLM robustness before deploying in production reasoning pipelines.
Key Takeaways
- Use AI Mode to plan thrift shopping trips with specific queries.
- Leverage Google Lens to uncover item details and market value.
- Utilize Circle to Search for similar vintage items effortlessly.
- Try Virtual Try-On to see how thrifted clothes fit before buying.
How It Works
AI Mode in Search allows users to input detailed queries, providing tailored results for thrift shopping. Google Lens uses image recognition to identify items and their market value, while Circle to Search enables users to find similar products by circling them on their device.
Virtual Try-On uses uploaded photos to simulate how clothing would look on the user, enhancing the online shopping experience.