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Generative AI

Differentiate GenAI with high-quality data

Innovative AI solutions depend on access to high-quality data and a network of highly skilled subject matter experts. Industry leaders use Labelbox to evaluate models, analyze and rewrite responses, and generate specific datasets for RLHF and advanced training.

Differentiate GenAI with high-quality data

Accelerate model creation and innovation with Gen AI

Streamline and optimize critical generative AI tasks with Labelbox

We understand that human expertise is essential to creating high-performing generative AI models. That's why our data factory combines the power of our platform with the knowledge and skills of our global Alignerr community to drive your generative AI tasks forward.

Model evaluation

Model evaluation

Evaluate model performance and build differentiated models that users love with accurate and speedy human evals

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Supervised-fine tuning
Supervised-fine tuning

Refine model performance and fine-tune models for specifics tasks and domains with human-generated data streams

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RLHF
RLHF

Align AI behavior with human preferences through preference rankings and multimodal chat evaluations

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Red teaming
Red teaming

Proactively identify and address vulnerabilities in AI systems before deployment for responsible model development

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Customer spotlight

How a leading genAI text-to-image app accelerates product development with high-quality labeled data

To improve their text-to-image AI models, the company was looking for ways to rapidly generate high-quality human preference training data. However, creating and labeling this data internally would have diverted valuable resources and focus away from their core product development efforts. Data labeling required dedicated tooling and labeling teams to meet narrow timeframes given the company's pace of product development. Labelbox’s efficient and reliable data labeling platform and Boost Labeling Services was used to improve their text-to-image data quality, while delivering highly-skilled labelers along with project management experts that allowed them to meet their deadlines. Using Labelbox’s LLM human preference editor, the company was now able to perform reinforcement learning from human feedback (RLHF), which enables them to easily create preference data for training a reward model based on multiple outputs from a single model.

Ship GenAI models confidently with human-centric evaluation

Ship GenAI models confidently with human-centric evaluation

Validate and label multimodal model responses by human experts using advanced capabilities for ranking, classification and selection. Evaluate responses from up to 10 models simultaneously through live, multi-turn conversations or orchestrate the review of pre-captured prompts and responses.

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Enhance training data by identifying and rewriting poor responses

Enhance training data by identifying and rewriting poor responses

Identify and refine specific model outputs to deliver helpful, trustworthy, and optimized responses for instruction tuning, RLHF, and supervised fine-tuning. Curate, annotate, and improve datasets with the best of human and AI-assisted data preparation.

Get on-demand data labeling services and operations expertise

Get on-demand data labeling services and operations expertise

Whether your AI team requires operations setup, training, data labelers experienced with technology and software AI use cases, or just some extra support, Labelbox can give your team the boost it needs.

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