Rapidata has introduced a platform designed to revolutionize AI model development cycles, reducing the process from months to days by enabling near real-time reinforcement learning from human feedback (RLHF). Traditionally, AI development has relied on slow and inefficient methods involving human contractors who provide feedback in disconnected batches, causing significant delays. Rapidata addresses these inefficiencies by tapping into a global network of nearly 20 million users on popular apps like Duolingo and Candy Crush, allowing them to opt for feedback tasks instead of watching ads. This innovative approach not only streamlines the feedback process but also integrates human judgment directly into GPU training, enhancing the development of AI models that require more subjective and nuanced evaluations as they evolve into more complex forms, such as generative media. With $8.5 million in seed funding, Rapidata aims to become a critical infrastructure provider that ensures the human element is seamlessly integrated into AI training.
Rapidata emerges to shorten AI model development cycles with $8.5M funding
