Speech Synthesis

Speech Recognition

The technology that converts spoken language into text, also known as automatic speech recognition.

Text-to-Speech

Technology that converts written text into natural-sounding spoken audio using neural networks, enabling voice interfaces, accessibility tools, and content narration.

Speech-to-Text

The automatic transcription of spoken language into written text using acoustic and language models, foundational to voice assistants and meeting transcription systems.

A text generation strategy that restricts the model to sampling from the K most probable next tokens.

An approach to AI alignment where models are trained to follow a set of principles or constitution.

A language model trained on text from dozens or hundreds of languages simultaneously, enabling cross-lingual understanding and generation without language-specific fine-tuning.

The syntactic analysis of a sentence to establish relationships between head words and words that modify them.

AI systems that extract structured information from unstructured documents by combining optical character recognition, layout analysis, and natural language comprehension.

The capability of language models to accurately interpret and execute natural language instructions, a core skill developed through instruction tuning and alignment training.

Connecting language model outputs to real-world knowledge, facts, or data sources to improve factual accuracy.

Search technology that understands the meaning and intent behind queries rather than just matching keywords.