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.
Ask Svak
Have questions about LLMs, AI, or machine learning models?
Related Questions
- How do MRR and NDCG metrics account for the ranking of relevant documents when evaluating text generation models?
- Can MRR and NDCG metrics be affected by the ordering of the ground truth relevant documents in the ranking list?
- What are some common pitfalls in using MRR and NDCG metrics to evaluate the performance of text generation models?
- Can MRR and NDCG metrics be sensitive to the choice of the number of relevant documents considered in the ranking?
- How do MRR and NDCG metrics handle partial relevance judgments, where some documents may have varying degrees of relevance?
- Can MDCG metrics, such as MDCG@k be used to evaluate text generation models, and if so, how do they differ from MRR and NDCG?
- Are there any known biases in MRR and NDCG metrics that can lead to overestimation or underestimation of the performance of text generation models?
You’re just a few clicks away from unlocking the full power of Infermatic.ai! With our easy-to-use platform, you can explore top-tier large language models, create powerful AI solutions, and take your projects to the next level.
Get Started Now