Facebook owner Meta said on Friday it was releasing a batch of new AI models from its research division, including a "Self-Taught Evaluator" that may offer a path toward less human involvement in the AI development process.

META AI evaluator can train other AI models, eliminating the need for human data and input at various training stages.

AI model trained without human input. The Self-Taught Evaluator was trained using only AI-generated data, eliminating the need for human input at this stage. This capability to us

Technology and social media giant Meta has introduced the next phase of AI, that will see a reduction in the need for LLM human involvement.

To create accurate assessments of the models' answers, Meta's "Self-Taught Evaluator" uses the same "chain of thought" method as OpenAI's o1 models. Meta,

Meta has unveiled a new set of AI models, including the groundbreaking "Self-Taught Evaluator," which aims to reduce human involvement in AI development. By leveraging AI-generated data and innovative evaluation techniques,

Meta Platforms on Friday released an array of new AI products including a “Self-Taught Evaluator” that is able to check the accuracy of other AI models. The model is therefore reportedly able to offer less human involvement in the development process of the AI models.

Meta Platforms ($META) has issued several new artificial intelligence (AI) models, including one that is capable of checking the work of other AI