Data Science Tutorials

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 a free Google Colab GPU using QLoRA, PEFT, and the Hugging Face ecosystem to customize open-source LLMs for your use case.

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.

This tutorial introduces you to the OpenAI API, it's use-cases, a hands-on approach to using the API, and all the best practices to follow.

A complete guide to coding best practices including DRY/SOLID principles, automated tooling, Git workflows, and responsible use of AI coding assistants.

Learn to create 15 types of data plots in Python using matplotlib and seaborn, from common bar charts to advanced heatmaps and unconventional treemaps.