Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Models
Sarvam 105B
Sarvam 105B is Sarvam AI's flagship open-weight 105B+ MoE reasoning model for Indian-language chat, coding, long-context work, and agents.
AI platforms
Sarvam AI
Sarvam AI is an India-based sovereign AI platform focused on Indian-language LLMs, speech, translation, document digitization, and enterprise AI agents.
Machine Learning
semi-supervised-learning
A learning approach that combines labeled and unlabeled data for training models.
Models
Speech-to-speech
Speech-to-speech, or full-duplex voice, takes spoken audio and returns spoken audio in one live session instead of chaining STT, an LLM, and TTS.
Development
Structured Outputs
Structured Outputs constrain model responses to match a developer-supplied schema, typically for reliable JSON or function-call arguments.
Data Science
synthetic-data-generation
The process of creating artificial data that mimics real-world data for training machine learning models.
Models
Time-series foundation model
A time-series foundation model is pretrained on many series so it can forecast new series with little or no task-specific training.
Machine Learning
Unsupervised Learning
A type of machine learning that deals with data that has no labels, aiming to find hidden patterns or intrinsic structures.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.
Retrieval
Vector
In AI search, a vector is a list of numbers that locates an item in embedding space so nearby vectors can be retrieved as similar.
Machine Learning
Zero-shot Learning
A machine learning approach where the model predicts classes that it has not seen during training.