The story starts here: good data inputs make for good model outputs. Our Advanced AI Data Trainers do what tech can’t and thoughtfully prepare data. We have the capacity to deploy hundreds of intelligent operators in months, and preprocess data that makes your model strong from the get go and shrink time to launch.
Related Processes
The story starts here: good data inputs make for good model outputs. Our Advanced AI Data Trainers do what tech can’t and thoughtfully prepare data. We have the capacity to deploy hundreds of intelligent operators in months, and preprocess data that makes your model strong from the get go and shrink time to launch.
Different use cases require different datasets. That’s why we prepare data in any format. We excel at image annotation, video labeling, and preparation of text & numerical datasets for use cases ranging from generative AI models to safety services to video game development.
No data stone is left unturned. Our operators align with your quality benchmarks for your data preprocessing framework and get to cleaning. We enrich data that’s missing fields and filter the data that’s just making noise in your dataset. The result: the best possible data and a lot of it.
Different use cases require different datasets. That’s why we prepare data in any format. We excel at image annotation, video labeling, and preparation of text & numerical datasets for use cases ranging from generative AI models to safety services to video game development.
Related Processes
No data stone is left unturned. Our operators align with your quality benchmarks for your data preprocessing framework and get to cleaning. We enrich data that’s missing fields and filter the data that’s just making noise in your dataset. The result: the best possible data and a lot of it.
Reinforcement Learning From Human Feedback (RLHF) is a subfield of Reinforcement Learning (RL) that involves incorporating feedback from human evaluators and a reward system to improve the learning process.
The problem: It’s really hard to scale.
To get the most out of RLHF trained models, you need a lot of skilled data trainers to prepare data and give the model intelligent & consistent feedback. Invisible offers one of the only cost-effective solutions in the market.
Learn more about RLHF from the experts who pioneered it.
Reinforcement Learning From Human Feedback (RLHF) is a subfield of Reinforcement Learning (RL) that involves incorporating feedback from human evaluators and a reward system to improve the learning process.
The problem: It’s really hard to scale.
To get the most out of RLHF trained models, you need a lot of skilled data trainers to prepare data and give the model intelligent & consistent feedback. Invisible offers one of the only cost-effective solutions in the market.
Business leaders are overcoming obstacles created by hiring freezes by implementing AI technology technology. Most say they’re deploying AI to make smarter products.
Invisible CTO Scott Downes joined DataFramed recently to discuss how ChatGPT and Generative AI are augmenting workflows and scale operations.
Invisible has done outstanding work that has materially increased the team’s productivity...we plan to expand our services with invisible.
Invisible is our strategic growth partner providing us with business intelligence to expand into new markets. They exceeded our expectations in both cost and quality while improving our outcomes.
