EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Jul 28·5 min read
Show HN: I put a $2.43 necklace on 3 outfits. VLMs priced it at $19 to $104
TL;DR
A behavioral study revealed that six multimodal language models (LLMs) assigned varying prices to the same $2.43 necklace based on the outfit it was paired with, showing a valuation bias of up to 3.6 times. This highlights how context influences AI perception of value.
✦ Why It Matters
Consider how context affects AI pricing models in your applications to improve accuracy.
Key Takeaways
- Test LLMs with varied contexts to understand valuation biases.
- Use debiasing techniques to mitigate inflated price estimates.
- Analyze how visual cues affect model outputs in pricing tasks.
- Be cautious of context when deploying AI for appraisal purposes.
How It Works
The study utilized six multimodal LLMs to assess how different outfits influenced the perceived value of a necklace. By presenting the same necklace in various contexts, the models demonstrated a 'halo effect,' where the surrounding visual cues led to inflated or deflated price estimates.
The methodology included blind tests and controlled conditions to isolate the impact of context on pricing.