How Reinforcement Learning with Human Feedback is Unlocking the Power of Generative AI
The merging of human and machine capabilities is reaching new heights as a result of reinforcement learning. This powerful form of artificial intelligence allows machines to use human feedback and reinforcement to understand real-world situations. By giving the machine continual feedback, it can better understand complex situations and make decisions that can change the course of history.
Generative AI, or “generative modeling,” is a branch of artificial intelligence that can create new data and data structures ranging from virtual objects and 3D images to text and music. For example, generative AI can be used to create animations that can be used by movie studios or to write computer code that can be used by software developers.
Reinforcement learning with human feedback is at the core of the growth in generative AI. This ability to combine machine learning with the intuition of humans allows for the development of more complex AI systems. The increasing availability of large data sets, powerful computers and sophisticated algorithms act as a base for these systems and make them more practical for a variety of applications.
Reinforcement learning has been embraced by Appen, a publicly traded company that provides critical data for a variety of applications, including voice recognition and language translation. Appen recently welcomed Sujatha Sagiraju as SVP of Product, who brings over 20 years of experience in leading disruptive online services and AI/ML and data platforms. Sagiraju is responsible for product strategy and leveraging data to drive innovation. She previously held leadership roles in Microsoft, where she was responsible for projects such as the Bing search engine.
This combination of human and machine capabilities, along with Sagiraju’s expertise, has the potential to unlock the power of generative AI for Appen. By leveraging reinforcement learning with human feedback, Appen will be able to develop intelligent systems to generate new data and data structures to improve their technologies. This could revolutionize the AI market and bring unprecedented results, thanks to the power generated by reinforcement learning.
