Meta引入了“自学评估员”,这是AI的一种模式,评估其他自学系统并从错误中吸取教训。 Meta introduces "Self-Taught Evaluator", an AI model that assesses other AI systems and learns from mistakes.

Meta引进了“自学评估员”,这是一种AI模型,能够评估其他自学系统,有可能最大限度地减少人类参与自学开发。 Meta has introduced the "Self-Taught Evaluator," an AI model capable of assessing other AI systems, potentially minimizing human involvement in AI development. 它专门就AI产生的数据进行培训,并利用“思维链”技术,提高了复杂问题的解决的准确性。 Trained exclusively on AI-generated data and utilizing a "chain of thought" technique, it enhances accuracy in complex problem-solving. 这种创新可能导致自主的AI代理机构从错误中吸取教训,可能取代目前依赖人类的方法,如 " 从人类反馈中强化学习 " 。 This innovation may lead to autonomous AI agents that learn from mistakes, possibly replacing current human-dependent methods like Reinforcement Learning from Human Feedback. 其他更新包括改进图像识别工具。 Other updates include improvements to image identification tools.