Data Science Tutorials

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.

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.

Learn coding best practices to improve your programming skills. Explore coding guidelines for collaboration, code structure, efficiency, and more.

Explore various types of data plots—from the most common to advanced and unconventional ones—what they show, when to use them, when to avoid them, and how to create and customize them in Python.

Explore data management with our SQL Server Tutorial. From basics to advanced usage, enhance your skills and navigate SQL Server with confidence.

Explore the nuances of AI moderation with our in-depth guide on utilizing ChatGPT for moderating responses in GPT-based applications.

Dive deep into the Contrastive Captioner (CoCa) model, an advanced image-text foundation model in machine learning.