NLP
/ˌɛn-ɛl-ˈpiː/
n. “A field of computer science and artificial intelligence focused on the interaction between computers and human language.”
NLP, short for Natural Language Processing, is a discipline that enables computers to understand, interpret, generate, and respond to human languages. It combines linguistics, machine learning, and computer science to create systems capable of tasks like language translation, sentiment analysis, text summarization, speech recognition, and chatbot interactions.
Key characteristics of NLP include:
TPU
/ˌtiː-piː-ˈjuː/
n. “Silicon designed to think fast.”
TPU, or Tensor Processing Unit, is Google’s custom-built hardware accelerator specifically crafted to handle the heavy lifting of machine learning workloads. Unlike general-purpose CPUs or even GPUs, TPUs are optimized for tensor operations — the core mathematical constructs behind neural networks, deep learning models, and AI frameworks such as TensorFlow.
TensorFlow
/ˈtɛn.sərˌfloʊ/
n. “A machine learning framework that turns math into machinery.”
TensorFlow is an open-source machine learning framework developed by Google for building, training, and deploying machine learning and deep learning models at scale. It provides a comprehensive ecosystem of tools, libraries, and abstractions that allow developers and researchers to move from raw data to trained models to production systems without switching platforms.