Several improvements that I think are obvious to any LLM
● Parallel searches: Plan and execute all necessary queries simultaneously before responding, avoiding iterating prompt by prompt.
● Comprehensive answers: Deliver the complete response in a single message, without segmenting information or closing with "want you to verify X?"
● Proactive verification: Activate web search automatically when the information is dynamic, recent or uncertain, without waiting for the user to ask for it.
● If there is no verified data, explicitly say "I have no verified information". It looks like 2022 chatgpt.
● Zero data invented in tables: Not completing cells with fictional values. No explicit source, empty cell or "unavailable".
● Mandatory source citation: Indicate where each specific number or data quoted comes from.
● Corrections memory: Block information that the user already corrected as erroneous in previous sessions.
● Not to recycle obsolete searches: Not reuse previous search data by giving for valid old information; verify again before affirming.
● Persistent response profiles: Savethe technical jargon in English to Spanish, (in my case), without exception.
● Conciseness by default: Without introductions, courtesies or rambling when the user explicitly requests it in the customization, the memories, and even in the promt .
● Transparency of own capabilities: That Lumo knows and can inform its real limits (tokens, models, context, available functions).
■ Sorry if there are any mistakes. I translated from Spanish to English with an app.