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From ideation to launch: Using New Relic insights to develop and monitor your first generative AI chatbot

Blog post from New Relic

Post Details
Company
Date Published
Author
Sadé C. Johnson, Developer Relations Engineer
Word Count
2,439
Company Posts That Month
51
Language
English
Hacker News Points
-
Post removed?
No
Summary

This is a summary of the text in one paragraph: Building a simple chatbot application with generative AI requires understanding the underlying technologies and potential problems that can arise. The application uses an OpenAI GPT model, a vector database, and an orchestration framework to provide informed responses to user queries. However, this technology also introduces complexities such as nondeterministic behavior, hallucinations, and high resource usage. To mitigate these issues, observability tools like New Relic can be used to gain insights into the application's performance, user engagement, and costs. By monitoring the chatbot's responses, developers can identify areas for optimization and fine-tune the knowledge base of the AI to provide more meaningful interactions with users.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 20 2,357 311 115 -2%
Vector Search 6 1,815 230 71 -13%
RAG 4 1,158 170 50 +3%
Observability 2 1,444 278 85 +25%
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