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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:

Associated Press Virginia Daybook for Friday, Jun. 23. The daybook is for planning purposes only and is not intended for publication or broadcast.

Deployment planning of distributed rooftop photovoltaic (PV) systems remains a critical challenge for high-density cities, due to complex shading effects and diversified rooftop availabilities. Furthermore, such planning for large-scale systems could be extremely complex due to high dimensionality caused by the enormous number of buildings. To tackle the challenge, this study proposed an optimal planning strategy for municipal-scale distributed rooftop PV systems in high-density cities. The optimization problem was solved by integer learning programming, based on high-accuracy solar energy pot...

In a paper recently published in the journal Energies, researchers reviewed current studies on the design and planning of district heating (DH) systems. They aimed to provide guidance on preliminary steps for nations with a low DH market share related to heating and cooling supply.

A Hypothetical Deliberation on the Possible Interactions Between Three Cognitive Processes.