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      • Data collection – High‑volume data capture across text, audio, image and video – tailored to your model and use case.
        • Text data collection
        • Audio data collection
        • Image data collection
        • Video data collection
      • Data annotation – Expert labeling for all data types – delivering the accurate training inputs your ML models need.
        • Text annotation
        • Audio annotation
        • Image annotation
        • Video annotation
      • Data evaluation – Human‑led validation and assessment of data quality and model output – ensuring reliability and compliance.
        • Training data validation
        • AI model evaluation
        • Audio/Speech data evaluation
        • Search relevance
        • Surveys (via clickworker)
      • Data transcription – Accurate transcription of audio, image and video content – optimized for speech and multimodal AI workflows.
        • Audio transcription
        • Image transcription
        • Video transcription
      • Gen AI services – Specialized services for LLMs and generative workflows – from data collection to red‑teaming and RLHF.
        • LLM data collection
        • Supervised fine-tuning
        • LLM red-teaming
        • RLHF services
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AI Glossary

Explanation of terms around learning systems and AI (Artificial Intelligence)

A-F

A

  • Active Learning
  • AI data collection company
  • AI Data Mining
  • Algorithm
  • Artificial General Intelligence (AGI)
  • Artificial Intelligence
  • Artificial Neural Network
  • Assistance Systems
  • Audio Labeling
  • Automated Content Tagging
  • Autonomous Driving
  • Autonomous Systems

B

  • Big Data

C

  • Cloud Robotics
  • Cognitive Computing
  • Computer Vision
  • Contextual Intelligence
  • Conversational AI
  • Convolutional Neural Network

D

  • Data Exploration
  • Data Labeling
  • Decision Models
  • Deep Learning & Datasets for Deep Learning

E

  • End to End learning

F

  • Face Recognition
  • Few-Shot Learning
  • Foundation Model

G-P

G

  • Generative Adversarial Networks (GANs)

H

  • Human Centered AI
  • Human Computation

I

  • Image Classification Dataset
  • Image Labeling
  • Image Recognition
  • Internet of Things / IoT

L

  • Large Language Models
  • Learning Systems

M

  • Machine Learning
  • Multimodal AI

N

  • Natural Language Processing
  • Neural Networks

O

  • One-Shot Learning

P

  • Predictive Model
  • Process Mining

R-Z

R

  • Recurrent Neural Networks
  • Reinforcement Learning
  • Robotic Process Automation (RPA)
  • Robotics

S

  • Sentiment Analysis
  • Sentiment Detection
  • Smart Data
  • Social Bots
  • Speech to Text Transcription
  • Strong AI
  • Supervised Learning
  • Synthetic Data

T

  • Text Labeling for AI & Machine Learning
  • Text Recognition
  • Tokenization in LLMs
  • Transfer Learning
  • Transformers
  • Turing Test

V

  • Video Labeling for Machine Learning
  • Virtual Assistant
  • Voice Assistant
  • Voice Bot
  • Voice Dataset

W

  • Weak AI
  • Weak Supervision

Z

  • Zero-Shot Learning
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Solutions
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  • Text annotation
  • Transcription
  • Image transcription
  • Audio transcription
  • Video transcription
  • Document transcription
  • Post editing of ASR
  • AI data validation & evaluation
  • Training data validation
  • Audio/Speech data evaluation
  • AI model evaluation
  • Search relevance
  • Human in the loop
  • RLHF services
  • Supervised fine-tuning
  • LLM red teaming
  • Prompt engineering & evaluation
Use Cases
  • Generative AI
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  • Speech & NLP
  • Computer vision

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    • Gen AI services
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