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What is Reinforcement Learning?

Reinforcement learning refers to a type of machine learning where an agent learns optimal behaviors by interacting with an environment through rewards and penalties. It is widely used in robotics, gaming, finance, and autonomous systems.

Data Management
Data management encompasses the practices, policies, and technologies used to collect, store, process, and secure data throughout its lifecycle. It ensures data quality, accessibility, and compliance, supporting decision-making and business operations. Data management includes aspects such as data governance, security, and metadata management.
LLM (Large Language Model)
LLM (Large Language Model) is an advanced deep learning AI model trained on vast amounts of text data to understand and generate human-like text. LLMs, such as GPT and BERT, are widely used in chatbots, content creation, search engines, and language translation, revolutionizing AI-driven communication.
Efficiently updatable neural network
An efficiently updatable neural network is a machine learning model designed to adapt and learn new data without full retraining. This capability enhances AI applications in areas such as fraud detection, recommendation systems, and real-time analytics by improving efficiency and reducing computational costs.