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Resources and Industry Insights

This resource and insight hub provides education, breaking news, our research, and more to benefit developers, corporate leadership, academics, marketing and business development professionals, and even those who are new to the concept of AI.

How to Fine-Tune LLMs with Unsloth and Hugging Face

Daniela Brenes

Nov 188 min read

How to Fine-Tune LLMs with Unsloth and Hugging Face

A tutorial on how to train LLMs using Python, Hugging Face and Unsloth.

Experiment Tracking with Data Version Control (DVC)

Michael Gruner

Oct 28 min read

Experiment Tracking with Data Version Control (DVC)

Learn to use DVC to quickly perform and compare machine learning experiments.

Mean Average Precision (mAP) and other Object Detection Metrics

Michael Gruner

Apr 2315 min read

Mean Average Precision (mAP) and other Object Detection Metrics

A walkthrough of mAP and other object detection quality metrics.

Improving Detection Performance with SAHI and Tiled Predictions

Michael Gruner

Jan 54 min read

Improving Detection Performance with SAHI and Tiled Predictions

Discover how SAHI and tiled predictions can significantly improve detection performance, especially for small objects in high-resolution ima

How to Enable Plots Visualization on MMAction2

Michael Gruner

Nov 11, 20232 min read

How to Enable Plots Visualization on MMAction2

A step by step guide on how to enable plots visualization on MMAction2 trainings.

A Practical Data Version Control (DVC) Tutorial for Machine Learning

Michael Gruner

Oct 10, 202319 min read

A Practical Data Version Control (DVC) Tutorial for Machine Learning

A tutorial on how to use DVC to manage and version reproducible machine learning projects.

PyEnv: Simple Python Version Management

Michael Gruner

Oct 5, 20232 min read

PyEnv: Simple Python Version Management

A practical guide on handling Python versions with PyEnv.

Developing Machine Learning Projects with Data Version Control (DVC)

Michael Gruner

Mar 28, 202310 min read

Developing Machine Learning Projects with Data Version Control (DVC)

The first in a series on how to build machine learning projects with DVC. Part 1: The Need for DVC.

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