OpenAI, an artificial intelligence research organization, has made a new development in its large language model (LLM) technology. The organization has published a detailed paper that outlines new techniques for training LLMs to prevent the creation of incorrect information. The research paper gives insight into OpenAI’s two new methods for training LLMs. The first, called outcome supervision, teaches the model to produce text that would result in a specific desired outcome. The second, called process supervision, trains the model to follow a specific chain of thought, such as step-by-step guidance for solving a mathematical problem. OpenAI has applied process supervision to train LLMs to produce solutions to mathematical problems and has created a dataset called MathStep that contains over 1 million mathematical problems with detailed solutions and hints. This AI development would enhance the accuracy and completeness of solutions produced by LLMs for domains requiring problem-solving and reasoning skills.
OpenAI is an artificial intelligence research company dedicated to developing AI in a safe and groundbreaking manner.
The research was conducted by OpenAI, and the organization hasn’t mentioned any specific individual who contributed to this research.
OpenAI Develops Breakthrough Technology to Combat Fake Information Generated by LLM AI
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