The story starts here: good data inputs make for good model outputs. Our Advanced AI Data Trainers do what tech can’t with thoughtful data preparation. We have the capacity to deploy hundreds of intelligent operators in months, and preprocess data that makes your model strong from the get go.
Related Processes
The story starts here: good data inputs make for good model outputs. Our Advanced AI Data Trainers do what tech can’t with thoughtful data preparation. We have the capacity to deploy hundreds of intelligent operators in months, and preprocess data that makes your model strong from the get go.
A human-in-the-loop approach makes AI models better at most tasks. Our operators align with your quality benchmarks for your reinforcement learning framework and evolve with it as datasets continue to improve your model. Normally the fun stops here because this process scales badly. But most vendors don’t have the agility or recruiting infrastructure that Invisible does.
Work doesn’t stop when a model is deployed. On top of your fine-tuned model’s ability to continuously improve, we improve with it and maintain a steady beat of reinforcement to make your model smarter over time. For one client, our skilled AI data trainers are providing 3,000+ hours of high-quality RLHF every day.
A human-in-the-loop approach makes AI models better at most tasks. Our operators align with your quality benchmarks for your reinforcement learning framework and evolve with it as datasets continue to improve your model. Normally the fun stops here because this process scales badly. But most vendors don’t have the agility or recruiting infrastructure that Invisible does.
Related Processes
Work doesn’t stop when a model is deployed. On top of your fine-tuned model’s ability to continuously improve, we improve with it and maintain a steady beat of reinforcement to make your model smarter over time. For one client, our skilled AI data trainers are providing 3,000+ hours of high-quality RLHF every day.
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 Form 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.
