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What is Data labeling?

Data labeling is the process of tagging raw data with meaningful annotations to enable machine learning models to recognize patterns. It is crucial in supervised learning applications such as image recognition, NLP, and speech processing.

Data-driven control system
A data-driven control system leverages real-time data and machine learning algorithms to optimize processes and decision-making. These systems are widely used in automation, manufacturing, and smart infrastructure applications.
BLOOM (language model)
BLOOM is a large-scale, open-access language model developed to generate human-like text across multiple languages. It is trained using deep learning techniques and serves as a benchmark for ethical and inclusive AI development.
Streaming Data
Streaming data refers to continuous, real-time data generated from sources like sensors, social media, and financial transactions. It is processed using frameworks like Apache Kafka and Spark Streaming for low-latency analytics.