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How ngrok helps Sam develop and test LLM-powered RAG applications

Blog post from Ngrok

Post Details
Company
Date Published
Author
Team ngrok
Word Count
653
Company Posts That Month
2
Language
English
Hacker News Points
-
Post removed?
No
Summary

Adil Aijaz, CEO of Sam, discusses using ngrok to develop and manage the AI Sales Engineer and Call Intelligence platform, Sam. Sam functions as a virtual sales engineer, providing expertise during calls by capturing and processing Zoom meeting audio to detect and display customer questions in real-time using a distributed system architecture. The development process involves various interconnected services, making local development challenging. ngrok facilitates this by allowing developers to simulate production environments on their local machines, enabling them to test and iterate on components like transcription and question detection without disrupting live operations. This setup allows developers to safely test new prompts with production traffic, forwarding a percentage of questions to local endpoints and comparing results to ensure quality without affecting the live system. Overall, ngrok plays a crucial role in bridging the gap between local development and production, enhancing the ability to prototype and refine AI systems effectively.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 6 4,013 569 191 -13%
Real-time 4 3,875 964 250 -11%
RAG 2 1,528 261 92 -30%
AI Agents 1 1,991 303 121 +71%
AI Model Fine-tuning 1 643 171 88 -36%
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