Grok 4.1 Usage Optimization - Grok 4.1 handles large context inputs effectively, including source code, files, and PDFs [5] - Prompt engineering is crucial for optimal output, requiring specificity in context, tone, length, and format [1][2] - Thought chaining can be used to guide Grok 4.1's reasoning process, such as "analyze X, then reason step-by-step, finally answer in bullet points" [2] Grok 4.1 Reasoning and Output Control - Grok 4.1 can be used as a reasoning engine by prompting it to "think aloud before answering" to reduce hallucinations [3] - Requesting multiple perspectives ("Argue both sides then conclude") enhances the depth of analysis [4] - Prompt endings like "Be concise and ruthless" or "Go maximally in-depth" control the level of detail in the output [6]
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