Retrieval-augmented language model (REALM)
Retrieval-augmented language model (REALM) represents a significant advancement in artificial intelligence, particularly within the field of natural language processing (NLP). By effectively integrati...
Embodied AI
Embodied AI is at the forefront of technological innovation, combining advanced artificial intelligence with physical interaction capabilities. By effectively utilizing sensors, actuators, and machine...
Canonical schema
Canonical schema is a pivotal concept in the world of data management, enabling systems to communicate effectively despite their internal complexities. As organizations increasingly rely on diverse da...
Deep belief networks
Deep belief networks (DBNs) represent a fascinating convergence of neural network architectures that significantly enhance the ability of machines to learn from data. Developed by Geoffrey Hinton and ...
Machine learning pipeline
A machine learning pipeline serves as a vital tool that streamlines the development and deployment of machine learning models. This structured framework ensures that all necessary steps—from data pr...
Ridge regression
Ridge regression is a sophisticated approach in statistical modeling that rises to relevance especially when faced with multicollinearity issues. As datasets with numerous predictors can complicate li...
LLM Gateway
The LLM Gateway is used to provide a centralized access point to numerous Large Language Models (LLMs). As industries increasingly turn to generative AI for enhanced productivity, the LLM Gateway emer...
Hadoop as a Service (HaaS)
Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. As businesses increasi...
Data science
Data science is reshaping the world in fascinating ways, unlocking the potential hidden within the vast amounts of data generated every day. As organizations realize the immense value of data-driven i...
Abstract Data Types (ADTs)
Abstract Data Types (ADTs) form the backbone of many software systems, enabling developers to create flexible and reusable code structures without delving into the complexities of their internal imple...
