Google, DeepMind Study Reveals Large Language Models' Hidden Information Boosts Performance

[LG] Probing the Decision Boundaries of In-context Learning in Large Language Models S Zhao, T Nguyen, A Grover [University of California Los Angeles] (2024) https://t.co/vWtyeTPZtG - Recent large language models (LLMs) exhibit surprising in-context learning capabilities,… https://t.co/m1676RW6ip

A study shows that when large language models (LLMs) see hundreds or thousands of examples right in the prompt, their performance on a variety of tasks improves significantly, according to researchers from Google, DeepMind, and other institutions. https://t.co/ZDJErRwUAb

🤖LLMs know more long-context information than they show! 🔍Probing reveals higher accuracy than generation output. #LLMs know but don't tell.🤐 The earlier relevant information is learned within the layers, the higher the final output accuracy! 📈 (https://t.co/1f4I65VAEy) https://t.co/IFWmzXewtw