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New Google Research on reducing hallucinations in LLMs that use RAG

By Marie Haynes

This is an interesting Google Research Paper, published in December 2024. The methods introduced here reduced hallucination rates when using Retrieval Augmented Generation (RAG) in models like Gemini and GPT by 2-10%...

Training Language Models to Self-Correct via Reinforcement Learning - DeepMind paper

By Marie Haynes

Google DeepMind's SCoRe method uses reinforcement learning to train language models to effectively self-correct through iterative revision, significantly improving their accuracy and reliability....