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.
5 months ago
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