How Trustpilot built a real-time architecture for data enrichment using Gemma
Processing millions of user reviews in real-time, under strict latency and cost constraints, is no easy task. Trustpilot has been doing exactly that with custom machine learning since long before large language models (LLMs) were cool. Now, as the company transitions its core stack to generative AI, here is a look at how we teamed up to build a high-volume streaming pipeline using fine-tuned Gemma models.
Powering deep review intelligence at scale
Trustpilot’s core business relies on delivering deep, actionable review intelligence. As a platform championing transparency and genuine feedback, it must safeguard data integrity and maximize value. This means extracting every drop of metadata from incoming reviews — making LLMs the perfect tool for the job.
These models excel at parsing messy, human-written text to run named entity recognition (NER), categorize business domains, score sentiment, and pinpoint customer intent. But while prompting an LLM for a few reviews is...
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