Debugging AnyNode through Prompting

Troubleshooting LLMs: Getting the Desired Output

AnyNode-Memory-Reset.mp4

When dealing with LLMs that don't code as expected, there are several strategies to help you get the desired function output.

1. Benchmarking and Reinforcement

• Benchmarking: Determine the minimum amount of instructions needed to get the desired output.
• Reinforcement: Provide more context and instructions to help the LLM understand the task.

2. Clearing Memory

• If the LLM is stuck, clear its memory by running a prompt without the previous function as a reference.

3. Using Examples

• If the LLM struggles to understand the task, provide an example of the desired function to help condition it towards the correct output.

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Benchmarking and Reinforcement

• Determine the minimum amount of instructions needed to get the desired output.
• Provide more context and instructions to help the LLM understand the task.

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Clearing Memory

• If the LLM is stuck, clear its memory by running a prompt without the previous function as a reference.

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Using Examples

• If the LLM struggles to understand the task, provide an example of the desired function to help condition it towards the correct output.

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Strategies for Troubleshooting LLMs

1. Benchmarking: Determine the minimum amount of instructions needed to get the desired output.
2. Reinforcement: Provide more context and instructions to help the LLM understand the task.
3. Clearing Memory: Clear the LLM's memory by running a prompt without the previous function as a reference.
4. Using Examples: Provide an example of the desired function to help condition the LLM towards the correct output.