【第111期】LearnLM：Gemini在教育场景的应用

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今天的主题是：

LearnLM: Improving Gemini for Learning

Summary

This research paper details the development and evaluation of LearnLM, a Google AI model designed for educational applications. LearnLM improves upon existing models by incorporating "pedagogical instruction following," allowing developers to specify desired teaching behaviors through system-level instructions. Extensive human evaluations, involving pedagogy experts, demonstrated LearnLM's superior performance compared to other leading models across various learning scenarios. The study highlights the importance of both intrinsic and extrinsic evaluation methods in assessing AI tutors and discusses future directions for improving AI in education. LearnLM's code and evaluation data are publicly available.

本文详细介绍了 LearnLM 的开发与评估，这是一种专为教育应用设计的 Google AI 模型。LearnLM 通过引入“教学指令遵循”功能得以改进，允许开发者通过系统级指令指定所需的教学行为。在涉及教学法专家的大量人工评估中，LearnLM 在多种学习场景中的表现优于其他领先模型。研究强调了内在和外在评估方法在评估 AI 教学效果中的重要性，并探讨了未来改进教育领域 AI 的方向。LearnLM 的代码和评估数据已公开提供。

原文链接：https://arxiv.org/abs/2412.16429