Social learning: Google Research framework for LLMs to teach each other via natural language
Google Research authors propose a "social learning" framework in which teacher LLMs transfer knowledge to a student LLM using natural-language instructions and synthesized examples rather than sharing raw data. Evaluated with PaLM 2‑S on tasks including spam detection, grade‑school math, and text-based question answering, they find that generated examples (e.g., 8–16 per case) often preserve privacy while yielding comparable student performance for most tasks, though spam detection was a notable exception; the paper also proposes quantitative privacy measures for this setting.