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Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerful general problem solver. Agent System Overview In a LLM-powered autonomous agent system, LLM functions as the agent’s brain, complemented by several key components:

A new study conducted by researchers from the Berlin Institute of Health at Charite (BIH) and Charite - Universitatsmedizin Berlin sheds light on the intricate workings of the human brain's decision-making processes. Contrary to conventional wisdom, the study reveals that individuals with higher intelligence tend to take more time to solve difficult problems

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Lifestyle interventions improve several markers in metabolic associated fatty liver disease 1. In this systematic review and meta-analysis, a low carbohydrate diet, aerobic training, and resistance training significantly improved multiple markers in metabolic associated fatty liver disease (MAFLD). 2. Although both aerobic and resistance training were effective interventions in MAFLD, resistance training was more effective

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