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LLM Powered Autonomous Agents

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: ....

Shinn Labash , Toolformer Schick , Prompt Engineering , Planning Domain Definition Language , World Env , Alfworld Env , Algorithm Distillation , Term Memory , Working Memory , Inner Product Search , Locality Sensitive Hashing , Approximate Nearest Neighbors Oh Yeah , Hierarchical Navigable Small World , Scalable Nearest Neighbors , Tool Augmented Language Models , Available Task List , Chat History , Candidate Models , User Input , Task Planning , Model Selection , Model Assignment , Task Execution , Search Engine , Dliberate Problem Solving , Large Language Models ,

Virginia Daybook - WTOP News

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

United States , University Of Virginia , Angela Cegnar , Shopping Center , Virginia Conservation Network , Virginia Daybook For , Dulles Expo Center , Carmax Inc , International Symposium On Forecasting , Associated Press , Associated Press Virginia Daybook , High Speed Rail , Optimal Planning , Passenger Train Station , America Show , Conference Call , Ratification Day , Virginia Ratification Day , International Symposium , Pam Stroud ,

"Optimal planning of municipal-scale distributed rooftop photovoltaic s" by Haoshan Ren, Zhenjun Ma et al.

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 potentials characterization. By selecting proper rooftops for PV, the electricity generation was maximized, considering the conflicting budget and peak-export-power constraints. A Hong Kong-based case study (including 582 real building rooftops) was conducted. The effectiveness of the proposed strategy was verified by comparing with 5,000,000 Monte-Carlo-generated alternatives. The strategy more effe ....

Hong Kong Based , Building Shading Effect , Distributed Rooftop Pv , High Density City , Integer Linear Programming , Optimal Planning , Ooftop Availability ,

How Should We Design Future District Heating Systems?

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. ....

France General , Chinmay Charioct , Susha Cheriyedath , Optimal Planning , Future District Heating Systems , Image Credit , Paris Climate Change , Demand Predictions ,

Chicago, IL Retired Professor and Author Publishes Philosophical Analysis

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

United Arab Emirates , United States , Depaul University , Karla Mclaren , Antonioe Morales , Rick Warren , Sanjay Gupta , Author Publishes Philosophical , Empathy Lead , Purpose Through , Keep Sharp Build , Better Brain , Any Age , Driven Life , Gladys Morale , Mathematical Economics , Optimal Planning , Sugar Complex , Rosedog Books ,