LoRA: Low-Rank Adaptation of Large Language Models Explained
Learn how LoRA enables efficient fine-tuning of large language models by updating fewer parameters. Explore its benefits, real-world uses, limitations, and future potential.
Scikit-learn: A Beginner’s Guide to Machine Learning in Python
Learn everything about Scikit-learn, the powerful Python machine-learning library. Explore tutorials and comparisons to master ML with Scikit-learn.
How to Write and Implement Agent Skills
Learn how to create and implement Agent Skills for LLMs using the SKILL.md framework. Build modular, reusable capabilities for AI agents with specialized instructions, Python scripts, and resources. Includes PDF parsing example with PyPDF2 integration.
How To Use *args and **kwargs in Python 3
In this tutorial, we will cover the syntax of working with *args and **kwargs as parameters within functions to pass a variable number of arguments to a given function. Both can be used improve readability and convenience, and are best for situations where the number of inputs within the argument list will remain relatively small.
Verwenden des pathlib-Moduls zum Bearbeiten von Dateisystempfaden in Python 3
Der Autor hat den COVID-19 Relief Fund dazu ausgewählt, eine Spende im Rahmen des Programms Write for DOnations zu erhalten. Python 3 enthält [das…
Guide to RAG and MCP: Choosing the Right Path for LLMs
Discover the guide to RAG and MCP for large language models. Learn the key differences, strengths, and use cases for your AI applications.
How to Scale Django: Beyond the Basics
As a web app grows in popularity and number of users, the need to scale performance will continue to be a point of focus for its developer(s). In this tutorial, we will go over a few higher-level strategies for scaling apps built on Django, going beyond the initial scaling tips we’ve already covered.
Python String Concatenation: Techniques, Examples, and Tips
Learn Python string concatenation with + operator, join(), format(), f-strings, and more. Explore examples and tips for efficient string manipulation.
Konvertieren von Datentypen in Python 3
In diesem Python 3-Tutorial erfahren Sie mehr über die Konvertierung von Datentypen, einschließlich Zahlen, Zeichenfolgen, Tupeln und Listen. Zudem lernen Sie Beispiele kennen, um sich mit verschiedenen Anwendungsfällen vertraut zu machen.
Настройка Jupyter Notebook с помощью Python 3 в Ubuntu 20.04 и подключение через туннель SSH
Jupyter Notebook — веб-приложение с открытым исходным кодом, позволяющее создавать интерактивный код, визуализации и другие элементы и делиться ими. Этот инструмент можно использовать с несколькими языками программирования, включая Python, Julia, R, Haskell…
