FPT AI Factory Accelerates AI Reasoning Capabilities across Southeast Asia and Japan with NVIDIA - Yahoo Finance
<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxPNms1SHZRQkxGaDFGcXlZeE5hbEJ2TkRLNjVPc2lFV042SDNPaFplVXBSeGhaY2xVaEQ5WER2TFFqcUFOQmEtSjdtckxGTHRHenJVVXVXTWdFRjVNMGJaaThpWUN6b1pIS1N6RHBsdXFLb1ZrRmVYN2Nla05RT0lOd2pQemlrUzV6dHFXS2hhMzlMdW9NQm9jMmZfR0dscTQ?oc=5" target="_blank">FPT AI Factory Accelerates AI Reasoning Capabilities across Southeast Asia and Japan with NVIDIA</a> <font color="#6f6f6f">Yahoo Finance</font>
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I built an npm middleware that scores your LLM prompts before they hit your agent workflow
The problem with most LLM agent workflows is that nobody is checking the quality of the prompts going in. Garbage in, garbage out but at scale, with agents firing hundreds of prompts per day, the garbage compounds fast. I built x402-pqs to fix this. It's an Express middleware that intercepts prompts before they hit any LLM endpoint, scores them for quality, and adds the score to the request headers. Install npm install x402-pqs Usage const express = require ( " express " ); const { pqsMiddleware } = require ( " x402-pqs " ); const app = express (); app . use ( express . json ()); app . use ( pqsMiddleware ({ threshold : 10 , // warn if prompt scores below 10/40 vertical : " crypto " , // scoring context onLowScore : " warn " , // warn | block | ignore })); app . post ( " /api/chat " , ( re
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