How do you prevent output distortion in GPT-2 models when generating technical articles

Question

With the help of code can i know How do you prevent output distortion in GPT-2 models when generating technical articles?

Answer 1

Output distortion in GPT-2 models for technical articles can be prevented by fine-tuning on domain-specific data, using controlled decoding methods like temperature and top-k sampling, and ensuring prompt clarity.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Uses a well-structured technical prompt to guide coherent generation.
• Applies top-k sampling and temperature control to balance creativity and accuracy.
• Ensures clean output by skipping special tokens and limiting output length.

Hence, combining domain-specific prompts, controlled decoding, and careful model configuration reduces output distortion, improving the clarity and accuracy of technical article generation.