Overview of Kili Technology
Kili Technology is a comprehensive data labeling platform designed to support data scientists, engineers, and businesses in creating high-quality machine learning (ML) datasets. Founded in 2018 by Edouard d’Archimbaud and François-Xavier Leduc, the platform addresses the critical need for accurate and efficient data labeling in AI development.
Key Functionality
- Data Labeling Platform: Kili’s core offering is a self-annotation solution that supports the labeling of various data types, including text, documents, images, videos, satellite imagery, and conversational data. The platform is equipped with AI-assisted tools that enhance manual labeling, ensuring the data used to train ML models is accurate and consistent.
Key Features
- Labeling Tools: Kili provides specialized interfaces and features for labeling different data formats, such as bounding boxes, polygons, keypoints, named entity recognition, transcription, and classification.
- Quality Management: The platform includes robust quality management functionalities to identify and fix inconsistencies within ML datasets, ensuring high accuracy.
- Integration Capabilities: Kili integrates seamlessly with existing machine learning workflows and supports major data storage solutions like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage. This allows for direct initiation of labeling tasks without manual data transfer. The platform also offers API and Python SDK for programmatic access to core functionalities.
- Large Language Model (LLM) Support: Kili supports LLM fine-tuning, evaluation, and testing, as well as supervised fine-tuning and Reinforcement Learning from Human Feedback (RLHF) workflows.
- Data Import and Export: Users can import data in formats such as CSV, JSON, and image files, and export annotated data in CSV, JSON, and TensorFlow Record formats.
Services and Products
- Professional Services: Kili offers managed expert labeling services through a global workforce of annotators, known as Kili Simple. This service provides access to annotators with expertise in over 100 domains and fluency in 30 languages. Additionally, Kili provides consulting services from Machine Learning Engineers (MLEs) to assess project viability, create implementation plans, and suggest best practices for labeling and global ML implementation.
- ML Expert Guidance: This service allows users to hire annotators to work within the Kili platform, providing real-time project oversight, customizable annotation, and quality control through API and tools.
Collaboration and Management
- Collaboration Tools: Kili facilitates collaborative labeling processes, enabling multiple users to work together on projects. The platform also includes version control to track intermediary data changes and export versions in preferred model formats.
- Simplified Labeling Operations Management: Kili streamlines the management of labeling projects, allowing users to oversee the complete training data lifecycle within the platform. It also supports automated labeling workflows and provides advanced quality metrics to pinpoint areas requiring improvement.
Security and Accessibility
- Access Control and Security: The platform enforces robust access control and security policies, ensuring the integrity and confidentiality of the data being labeled.
In summary, Kili Technology is a powerful tool for businesses and data scientists, offering a comprehensive suite of data labeling solutions, AI-assisted tools, and seamless integrations to enhance the efficiency and accuracy of ML dataset creation.