Refine LLM Responses (Post-processing)

Implement a suite of post-processing techniques to enhance the quality of generated responses. This includes:

• Modify the content to
  • mitigate hallucination,
  • refine the content formatting (such as proper capitalization, punctuation, markdown formatting, line breaks, etc.), and
  • enhance general coherence.
• At the same time, implement the Guardrail module to reject the harmful or abusive output content, messages about illegal activities, or other inappropriate responses.
  • Detect and Mitigate Misinformation: Identify and rectify instances of factually incorrect or misleading information within the generated response.
  • Prevent Harmful Content: Block and prevent the dissemination of harmful content, including hate speech, bias, toxicity, and any other forms of harmful or unethical output.
  • Ensure Ethical Compliance: Ensure that all generated outputs adhere to ethical guidelines and principles, such as fairness, transparency, and respect for human values.