Data Science Tutorials

This comprehensive, hands-on tutorial teaches you how to simplify deep learning model development with PyTorch Lightning. Perfect for beginners and experienced developers alike, it covers environment setup, model training, and practical examples.

Read our step-by-step beginner's guide to using Terraform, and learn how to efficiently automate and manage your Azure, AWS, and Google Cloud infrastructure.

Discover how Google BigQuery provides scalable, flexible, and cost-effective data warehousing and analytics solutions that seamlessly integrate with other GCP services.

Qwen is a family of large language and multimodal models developed by Alibaba Cloud, designed for various tasks like text generation, image understanding, and conversation.

Learn to use the Python pass statement in loops, functions, and classes. Understand the pass statement's importance in code execution and readability.

Unlock the full potential of Large Language Models (LLMs) with our guide on Chain-of-Thought (CoT) prompting. Learn how to enhance reasoning and problem-solving abilities in LLMs.

This article compares the performance of MatMul-free and traditional large language models in terms of speed and memory usage.

This article presents a practical guide to implementing TNT-LLM, a framework that automates taxonomy generation and text classification using LLMs, demonstrated through a news article clustering example with GPT-4 and LangGraph.

The yield keyword in Python turns a regular function into a generator, which produces a sequence of values on demand instead of computing them all at once.

Prompt chaining is a technique that involves breaking down a complex task into a series of smaller, interconnected prompts, where the output of one prompt serves as the input for the next, guiding the LLM through a structured reasoning process.

Find out all the new features and changes made in the NumPy 2.0 update.

Explore conditional formatting in Excel with simple to advanced examples and their best practices.