Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG)

Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG)

Google has introduced a groundbreaking innovation called DataGemma, designed to tackle one of modern artificial intelligence’s most significant problems: hallucinations in large language models (LLMs). Hallucinations occur when AI confidently generates information that is either incorrect or fabricated. These inaccuracies can undermine AI’s utility, especially for research, policy-making, or other important decision-making processes. In response, […]

The post Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG) appeared first on MarkTechPost.

Summary

Google has launched DataGemma, a set of open models aimed at addressing the issue of hallucinations in large language models (LLMs). Hallucinations refer to instances where AI generates information that is incorrect or fabricated, which can diminish its usefulness in critical areas such as research and policy-making. DataGemma utilizes techniques like Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG) to enhance the accuracy and reliability of AI outputs.

This article was summarized using ChatGPT