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Software Engineering

AppWorld: A Uniform Artificial Intelligence Infrastructure Providing a Stable Environment for Evaluating Interactive Coding in API-Related Tasks

As technology continues to advance, the prospects for automation in our daily digital lives are expanding. There's a rise in the ability of large language models (LLMs) to follow instructions, code, and use tools effectively. Many everyday digital tasks involve complex activities across multiple applications, requiring reasoning and decision-making based on intermediate results. A key…

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OpenDevin: A sophisticated AI platform designed to cultivate robust AI agents that emulate the interaction methods of a human developer.

A team of scholars from various universities and tech organizations have proposed OpenDevin, a revolutionary platform that aids in the development of AI agents capable of performing a broad range of tasks like a human software developer. Current AI algorithms often struggle with complex operations, lacking flexibility and generalization. Existing frameworks for AI development fall…

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Scikit-fingerprints: A Highly Developed Python Module for Effectual Molecular Fingerprint Calculations and Incorporation with Machine Learning Processes.

Scikit-fingerprints, a Python package designed by researchers from AGH University of Krakow for computing molecular fingerprints, has integrated with computational chemistry and machine learning application. It specifically bridges the gap between the fields of computational chemistry that traditionally use Java or C++, and machine learning applications popularly paired with Python. Molecular graphs are representations of…

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Non-Agent: A Non-Agent AI Method for Automatically Resolving Software Development Issues

Software engineering is a rapidly evolving field aimed at systematic design, development, testing, and maintenance of software systems. In recent times, large language models (LLMs) such as GPT-3 have been employed to automate and optimize various software engineering tasks. However, the use of autonomous LLM-based agents has its challenges given their cost and complexity, and…

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