We explain how to retrieve estimates of a model's performance using scoring metrics, before taking a look at finding and diagnosing the potential problems of a machine learning algorithm.
14.2. Fine-Tuning — Dive into Deep Learning 1.0.3 documentation
Understanding the Difference between Training, Test, and Validation Sets in Machine Learning, by Angelica Lo Duca, syntax-error
DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research
Artificial Intelligence vs. Machine Learning vs. Deep Learning
Pretrained transformer framework on pediatric claims data for population specific tasks
Maximizing the Potential of Large Language Models
All stories about Artificial Intelligence on December 24, 2018 – Medium
Fine-Tune a Pretrained Deep Learning Model
Melody Dunn on LinkedIn: Is your data ready for AI? Part 1
8 Best Ways to Increase Accuracy of Machine learning model
8 Tips to Train and Fine-Tune Machine Learning Models
Introducing GPT 3.5 Turbo, Babbage-002 and Davinci-002 Fine-tuning in AzureML Model Catalog - Microsoft Community Hub
