How To Fine Tune Your Machine Learning Models To Improve

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.

Maximizing the Potential of Large Language Models - Gradient Flow

Doc Mabuse (@DocMabuse7) / X

Maximizing the Potential of Large Language Models

LoRA — Intuitively and Exhaustively Explained, by Daniel Warfield

End To End Guide For Machine Learning Projects - KDnuggets

RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?, by Heiko Hotz

A guide to Parameter-efficient Fine-tuning(PEFT)

A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks

All stories about Artificial Intelligence on December 24, 2018 – Medium

What is Hyperparameter Tuning?

End To End Guide For Machine Learning Project, by Farhad Malik, FinTechExplained

Machine Learning Security - KDnuggets

Which is better, retrieval augmentation (RAG) or fine-tuning? Both.