Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- What metrics or evaluation methods do you use to assess the accuracy of the extracted common sense or world knowledge?
- How do you ensure that your prompts are not leading or biased, and that the model's responses are not influenced by prior knowledge or assumptions?
- Can you explain the process of tuning or fine-tuning your prompts to improve the model's performance on specific tasks or domains?
- How do you handle cases where the model's responses are incomplete, inaccurate, or inconsistent with known facts?
- What role does human evaluation play in assessing the effectiveness of your prompts, and how do you integrate human feedback into the development process?
- Can you discuss the trade-offs between the specificity and generality of your prompts, and how you balance these factors to achieve optimal results?
- How do you measure the model's ability to generalize to new or unseen contexts, and what strategies do you use to improve its robustness and adaptability?
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