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LLMs Usage FAQ: Difference between revisions
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(2) Important aspects and details related to the original problem that the initial solution method didn't fully consider | (2) Important aspects and details related to the original problem that the initial solution method didn't fully consider | ||
</pre> | </pre> | ||
== How to Solve: AI Doesn't Know AABB == | |||
📝 Inquiry | |||
AI is so dumb! When I ask it about AABB topics, it doesn't know anything. How can it be so difficult to use? | |||
💬 Response | |||
AI base models have knowledge cut-off dates<ref>[https://www.allmo.ai/articles/list-of-large-language-model-cut-off-dates A comprehensive list of Large Language Model knowledge cut off dates - ALLMO: Boost Your Brand's Visibility in AI Search]</ref>. The knowledge cutoff date represents the point beyond which AI models cannot access events or information. This date is determined by when the model's training data was last updated. When queries exceed this model's time limitations, it's easy to encounter hallucinations or situations where the AI doesn't understand. | |||
# '''Web Search Functionality''': It is recommended to choose AI tools that support "web search" functionality. First enable the "web search" feature, then resubmit your question. | |||
# '''Knowledge File Upload''': Alternatively, prepare documents or knowledge files about AABB topics<ref>[https://support.anthropic.com/en/articles/8241126-what-kinds-of-documents-can-i-upload-to-claude-ai What kinds of documents can I upload to Claude.ai? | Anthropic Help Center]</ref><ref>[https://ai.google.dev/gemini-api/docs/document-processing?lang=rest Document understanding | Gemini API | Google AI for Developers]</ref>, and upload them to the AI conversation to provide it with prerequisite knowledge before discussing the topic. | |||
If the information is too new or niche to be obtained through real-time web search, it is recommended to use the second method of uploading knowledge files. Sometimes AI will claim to understand AABB while actually not understanding (pretending to know). In such cases, you can propose basic conceptual questions for verification. | |||
== Related articles == | == Related articles == | ||