A structured guide to learning about Large Language Models (LLMs), covering fundamentals, scientist techniques, and engineering applications, based on the free course by Maxime Labonne.

A structured learning capsule covering the basics of data engineering, including its definition, importance, tasks, core components, key skills, and a practical pipeline example.

A step-by-step guide to setting up a local large language model environment using Docker, Ollama for model management, and Open WebUI for a user-friendly interface, ensuring privacy, cost efficiency, and flexibility.

Sebuah panduan komprehensif tentang profesi Data Analyst, mencakup definisi, tanggung jawab, dan peluang karir di era digital.

Learn to write cleaner, more efficient Python code with advanced techniques including custom context managers, the walrus operator for concise assignments, and structural pattern matching for complex logic.

A guide to using free LLM APIs with the OpenAI SDK, covering Ollama, GitHub Models, Open Router, and Groq.

A structured learning capsule covering fine-tuning methods, evaluation techniques, and practical considerations for adapting and assessing generative AI models.

Learn how to implement vector quantization using MongoDB Atlas Vector Search in Java to optimize memory usage and speed in AI applications.

A comprehensive guide covering the fundamentals and advanced aspects of Linux process management, including types, commands, monitoring, and security.

Learn advanced Python concepts including custom context managers, the walrus operator for concise assignments, and structural pattern matching for readable conditional logic.

Learn about Linux processes from definition to advanced management techniques.

Learn about circular imports in Python, their causes, detection methods, and architectural solutions to prevent production failures.

A step-by-step guide to interact with the DEV.to API for fetching articles, user data, and more, with or without an API key.