Episode 21: Deploying LLMs in Production: Lessons Learned
Vanishing Gradients
Importance of Benchmarks Correlating with Reality in Model Evaluation
Offline evaluation metrics on generic tasks for applied problems may not be trustworthy due to potential noise and issues such as data leakage. It is essential to find benchmarks that correlate with real-world experiences to evaluate models effectively. By identifying benchmarks that align with one's reality after experimenting with different models, one can increase trust in the evaluation process and make more informed decisions.
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