API integration is a feature that allows different software systems, platforms, or applications to seamlessly communicate with each other. It enables the exchange of data, functionality, a...read more
Model deployment is the process of taking a trained AI model and making it available for use in real-world applications. Once the model has learned to create content—like text, images, or ...read more
Parameter tuning in neural networks refers to the process of improving the model’s performance by adjusting its internal settings, specifically the weights, to minimize prediction errors. ...read more
Generative learning is the process of teaching an AI model to produce new content, such as images, text, or music, by learning from a large dataset of examples. During this process, the mo...read more
Scalability refers to the system's ability to grow and adapt to increased demands without sacrificing performance. A scalable system can add more resources to meet the higher workload. For...read more
Data ingestion is the process of collecting and importing data into the software. This allows the system to gather information from various sources, such as databases, online platforms, or...read more
Data preprocessing is the essential step of preparing raw data for analysis or model training. It involves tasks such as eliminating duplicates, handling missing values, and correcting any...read more
