Introduction Anomaly detection (also known as outlier detection) is a critical discipline in machine learning and data science, essential for identifying patterns, observations, or events that dev...

Introduction Time series forecasting is a strategic capability that transforms historical data patterns into actionable business intelligence. In today’s data-driven economy, organizations across ...

Introduction The evolution of LLM-based systems has led to increasingly complex agent workflows that require more than linear prompt execution. While frameworks such as LangChain, Haystack, or Aut...

Introduction LangChain is one of the most widely used frameworks for building applications powered by large language models (LLMs). It provides a flexible way to compose processing chains, integra...

In the rapidly advancing field of Artificial Intelligence, large language models (LLMs) have emerged as indispensable tools for natural language understanding and generation. Various techniques hav...

In recent years, Large Language Models (LLMs) have emerged as a cornerstone of artificial intelligence, marking a transformative leap in the field of natural language processing (NLP). Exemplified ...

Advanced data analytics has become an indispensable tool, enabling companies to automate processes and make data-driven decisions. By utilizing sophisticated techniques such as data mining, machine...

Introduction: In the world of Oracle databases, PL/SQL (Procedural Language/SQL) serves as a powerful tool for developing robust and efficient applications directly within the database. This articl...

Git is an indispensable decentralized version control tool in software development. Whether you’re a novice or an experienced developer, mastering Git is essential for effective code management. In...

Introduction Data visualization is a critical skill in data analysis, helping to communicate insights and patterns effectively. Matplotlib and Seaborn are two powerful Python libraries for creating...