How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy - KDnuggets

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.

Key Machine Learning Metrics to Evaluate Model Performance

Deep Learning Neural Networks frameworks: a focus on hardware accelerators

Fine Tuning Open Source Large Language Models (PEFT QLoRA), 44% OFF

Fine Tuning Open Source Large Language Models (PEFT QLoRA), 44% OFF

8 Best Ways to Increase Accuracy of Machine learning model

Fine-Tuning OpenAI Language Models with Noisily Labeled Data - KDnuggets

How To Improve Deep Learning Performance

14.2. Fine-Tuning — Dive into Deep Learning 1.0.3 documentation

Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)

Building Industry Level Data Science Projects: A Step-by-Step Guide, by Youssef Hosni

A Comprehensive Guide on How to Monitor Your Models in Production