UC Berkeley Unveils an Open LLM Starling-7B Trained Using Reinforcement Learning from AI Feedback

In a new report, UC Berkeley researchers have introduced Starling-7B, a revolutionary large language model crafted using Reinforcement Learning from AI Feedback or RLAIF. Researchers hope that this model will help to redefine the landscape of natural language processing, incorporating cutting-edge technologies and methodologies.

Researchers point out that at the core of Starling-7B lies the GPT-4 labeled ranking dataset, Nectar. The data set boasts a substantial 183,000 chat prompts. Each of these presents seven responses from various models such …

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