<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nlp on Omanshu Thapliyal</title><link>https://omanshuthapliyal.github.io/tags/nlp/</link><description>Recent content in Nlp on Omanshu Thapliyal</description><generator>Hugo</generator><language>en</language><atom:link href="https://omanshuthapliyal.github.io/tags/nlp/index.xml" rel="self" type="application/rss+xml"/><item><title>Contract-Aware SLA Compliance Monitoring</title><link>https://omanshuthapliyal.github.io/projects/contract-aware-sla-compliance-monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://omanshuthapliyal.github.io/projects/contract-aware-sla-compliance-monitoring/</guid><description>&lt;h2 id="problem">Problem&lt;/h2>
&lt;p>Colocation contracts promise each tenant specific limits on power, temperature
and humidity, with penalty credits when those limits are broken. The terms that
matter, such as a measurement window, an exclusion or a deadline for claiming
credits, are scattered across long contracts and worded differently by every
vendor. Monitoring is usually reactive: a breach is noticed only after it has
already cost money.&lt;/p>
&lt;h2 id="approach">Approach&lt;/h2>
&lt;p>AI agents read each SLA contract and turn it into structured, machine-checkable
rules. Every rule carries the exact contract text it came from, and a
verification step checks that quote against the source before the rule is used.&lt;/p></description></item></channel></rss>