Data Science Tutorials

This tutorial provided an overview of the bagging ensemble method in machine learning, including how it works, implementation in Python, comparison to boosting, advantages, and best practices.

Explore the transformative world of Hugging Face, the AI community's open-source hub for Machine Learning and Natural Language Processing.

This comprehensive guide on Llama.cpp will navigate you through the essentials of setting up your development environment, understanding its core functionalities, and leveraging its capabilities to solve real-world use cases.

A complete guide to understanding CNNs, their impact on image analysis, and some key strategies to combat overfitting for robust CNN vs deep learning applications.

Discover how to use DALL-E 3 to create images. DIscover what DALL-E 3 is, its key features, and how to use prompts to get the best results.

Learn to navigate the landscape of common activation functions—from the steadfast ReLU to the probabilistic prowess of the softmax.

This tutorial will introduce you to everything you need to know about GPT-4 Vision, from accessing it to, going hands-on into real-world examples, and the limitations of it.

A complete guide to running the Vicuna-13B model through a FastAPI server.

A complete guide to fine-tuning a FLAN-T5 model for a question-answering task using transformers library, and running optmized inference on a real-world scenario.

The tutorial covers accessing, quantizing, fine-tuning, merging, and saving this powerful 7.3 billion parameter open-source language model.

Discover seven NLP project ideas for all levels. Strengthen your portfolio, showcase your NLP skills, and impress employers with these hands-on projects.

In this post, we will explore the architecture, training data, features, and how to run inference and fine-tune the Falcon 40B model.