A booth for RagaAI is set up at a tech conference, showcasing their solutions for ensuring the safety and reliability of multimodal generative AI applications. A large banner highlights the company's key capabilities, including automated issue detection with vision language models (VLMs), scientific model testing, and synthetic data generation. A screen displays the RagaAI platform interface, illustrating its functionality. Two individuals are seated behind the booth, engaged in a quiet conversation. The booth is equipped with informational materials and decorated with a clean, professional setup, featuring a white table cover branded with the RagaAI logo. Overhead lights illuminate the space, creating a vibrant and professional atmosphere. The company's website, raga.ai, is clearly visible on the banner, inviting visitors to learn more about their offerings.
Text transcribed from the image:
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RagaAl Offering Fix
Trace Details
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paralleldomain
Ensure the safety and reliability of
Multimodal GenAl Applications with RagaAl
Key Capabilities
Automated Issue Detection with Vision
Language Models (VLMs)
Scientific Model Testing for Multi-Modal
RAG Applications
lity to Fix Al Robustness Issues with
hthetic Data Generation
Faure Mode Analysis-Cluster Level
Raga A
RagaAl's Platform
pinpointing the issue in the
context data store
ga.ai
Raga Al
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