#software engineering

Embark on a journey from experimentation to production with machine learning. Learn to design, develop, and deploy ML applications with industry best practices. Join over 40,000 developers to enhance your skills in MLOps, scaling ML workloads, and creating CI/CD workflows. Suitable for developers, graduates, and leaders, this resource bridges academic knowledge with industry demands, offering a solid foundation in ML system development.

Explore an AI resource designed specifically for engineers, aimed at bridging the knowledge gap between artificial intelligence and engineering disciplines. Written by the author of the popular 'Rust Language Bible', this book is aimed to be comprehensive and digestible, providing insights without requiring an extensive background in mathematics or software development. With engaging content, it serves a wide audience and is planned for release by August 2024, with chapters updated periodically.

SWE-agent utilizes advanced language models such as GPT-4 to enhance software engineering efforts, efficiently addressing issues in GitHub repositories. Recognized for its capabilities in offensive cybersecurity, it demonstrates superior performance on complex challenges from the NYU CTF benchmark. The distinct Agent-Computer Interface (ACI) facilitates repository navigation and code management. Developed by Princeton University researchers, SWE-agent comes equipped with features like debugging tools and offers a summarizer to handle large outputs.