AI data labeling

Scale specializes in data annotation, curation, and collection specifically tailored for AI applications, including autonomous vehicles and defense. Their offerings span from generative AI to reinforcement learning (RLHF), creating custom large language models (LLMs) to adapt AI initiatives to specific enterprise data. Collaborating with leading AI models from OpenAI, Google PaLM, and others, Scale facilitates the integration of enterprise data with these AI technologies. They deliver a full-stack generative AI platform, powering applications for federal, defense, and commercial sectors, emphasizing quality, safety, and strategic differentiation in AI deployment and management.

Scale

Data annotation, AI model training, generative platform, enterprise integration.

AI model fine-tuning

Labelbox offers a data-centric platform for building AI applications. It includes data labeling, curation, model evaluation, and workflows tailored for AI data set preparation. Users can pre-label data with existing models, compare model predictions with ground truth, and utilize reinforcement learning with human feedback. The platform also features analytics dashboards and tools for evaluating large language models and vision tools. With Labelbox, companies in industries like agriculture, retail, and healthcare can improve their AI models with high-quality training data, optimize model performance, and automate tasks, significantly reducing the time spent on data management and curation.

Labelbox

Platform for data labeling, AI model training, and evaluation.

Encord provides a data platform focusing on computer vision, enabling AI teams to create high-quality training datasets efficiently with AI-assisted annotation tools. The platform includes functionalities for monitoring and validating model performance, annotation workflows, advanced labeling ontologies, model-assisted labeling, quality assurance, and format support. It streamlines building, labeling, and reinforcement learning human feedback (RLHF) workflows, manages visual data, and fixes data issues. Encord's software integrates with cloud storage and MLOps tools, offering APIs/SDKs for workflow automation. It's designed for developing AI models efficiently, targeting problems like labeling errors to improve data quality and model success.

Encord

Encord streamlines computer vision AI development with data and annotation tools.

AI data labeling

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