Deep Learning
Deep learning is a subset of machine learning that uses multi-layered neural networks to learn complex patterns and representations from large volumes of data.
In Depth
Deep learning powers the most advanced AI capabilities in customer support, including natural language understanding, speech recognition, and image analysis. Unlike traditional ML algorithms that require hand-crafted features, deep learning models automatically discover the representations needed for classification or generation. Transformer-based architectures — the foundation of modern LLMs — are deep learning models with billions of parameters trained on massive text corpora.
In support contexts, deep learning enables understanding of nuanced customer messages, real-time voice transcription, visual analysis of product photos sent by customers, and accurate prediction of customer behavior. The depth of these networks allows them to capture subtle relationships in data that simpler models miss.
Related Terms
Machine Learning
Machine learning is a branch of AI where systems learn patterns from data and improve their performance over time without being explicitly programmed for each task.
Neural Network
A neural network is a computing system inspired by the human brain, composed of interconnected nodes (neurons) organized in layers that process information and learn patterns from data.
Transformer Model
A transformer is a deep learning architecture that uses self-attention mechanisms to process sequential data in parallel, forming the foundation of modern large language models.
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