How Ramp Uses GPT
7 engineering articles about GPT from Ramp's engineering team
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How our LLM gateway uses Thompson sampling over lognormal latency posteriors to pick the fastest, most reliable model route per request
How we built an accounting benchmark to develop Ramp Stack, our agentic accounting assistant, and what we learned about frontier models, skill ablation, and memory along the way.
How and why we built a real-time AI spend and usage pipeline for finance teams.
How we compare the performance of large language models on real financial tasks at Ramp, and why benchmarks built for production use cases matter.
The craft of engineering is rapidly changing. We built our own coding agent to accelerate faster.
A review of my summer internship on Ramp's Forward Deployed Engineering Team working on automatic hotel receipt retrieval.
Alex Noviello
11 min read
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Building agents that learn directly from humans performing real work, unlocking scalable automation from just a single recording.
8 min read
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