When prompting an LLM, be as clear and specific as possible. Define th...
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...
If an LLM struggles with a complex task, break it into smaller, simple...
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