GenAIWiki

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.