Tip intermediate
When prompting an LLM, be as clear and specific as possible. Define th...
System prompts are often re-sent with every API call. Keep them concis...
Don't expect the first output to be perfect. Use the LLM's initial res...
When generating code with an LLM, ask it to explain the solution step-...
Set up monitoring for your production LLM applications to track token ...
The 'temperature' parameter controls randomness. Lower values (e.g., 0...
If you frequently use long model names in your prompts or code (e.g., ...
LLMs are trained on vast datasets and can reflect societal biases. Cri...
When asking for code, provide surrounding code snippets or describe th...
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