Real ChatGPT answer · index seed0FLzcqCNRpccompleteB2B software · AI and automation toolsinformational
What are the best practices for prompt engineering when building a custom internal chatbot for technical support
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for prompt engineering when building a custom internal chatbot for technical support
1 real search · 1 real-search pass
best practices enterprise internal technical support chatbot prompt engineering system prompts RAG evaluation security OWASP LLM guidanceGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
best practices enterprise internal technical support chatbot prompt engineering system prompts RAG evaluation security OWASP LLM guidance Google ↗
- RAG Security · cheatsheetseries.owasp.org
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- Prompt engineering best practices to avoid prompt injection attacks on modern LLMs · docs.aws.amazon.com
- Develop a RAG Solution on Azure - Prompt Engineering - Azure Architecture Center · learn.microsoft.com
- Prompt Engineering · checkpoint.com