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Meta introduces "Self-Taught Evaluator", an AI model that assesses other AI systems and learns from mistakes.
Meta has introduced the "Self-Taught Evaluator," an AI model capable of assessing other AI systems, potentially minimizing human involvement in AI development.
Trained exclusively on AI-generated data and utilizing a "chain of thought" technique, it enhances accuracy in complex problem-solving.
This innovation may lead to autonomous AI agents that learn from mistakes, possibly replacing current human-dependent methods like Reinforcement Learning from Human Feedback.
Other updates include improvements to image identification tools.
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Meta presenta el "Evaluador Autodidacta", un modelo de IA que evalúa otros sistemas de IA y aprende de los errores.