Data Science Tutorials

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.

Unlock insights from unstructured data with topic modeling. Explore core concepts, techniques like LSA & LDA, practical examples, and more.

Learn how to fine-tune Llama-2 on Colab using new techniques to overcome memory and computing limitations to make open-source large language models more accessible.

Explore GPT-3.5 Turbo and discover the transformative potential of fine-tuning. Learn how to customize this advanced language model for niche applications, enhance its performance, and understand the associated costs, safety, and privacy considerations.