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LLMs are increasingly being implemented in high-stakes fields, such as medicine, law, finance, and government, where errors or overconfidence can have serious consequences. The reliability of such systems depends not only on the architecture of the models and training methods, but also on the quality of the data used to train and evaluate them.
In traditional approaches...
Creating reliable autonomous AI agents requires large language models to possess strategic thinking capabilities. Training LLMs on specialized multi-step planning datasets enables models to break down complex tasks into logical st...