New Relic AI helps bridge the complexity gap in understanding system architecture by simplifying troubleshooting through natural language prompts and NRQL query language.
The use of large language models like OpenAI's GPT-4 Turbo assists in converting natural language questions into NRQL queries, although additional instructions are often needed for optimal performance.
Prompt engineering is key in refining the abilities of language models, teaching them to generate specific behaviors and accurate NRQL queries, referred to as 'NL2NRQL.'
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