Symptoms, Causes, and Fixes of Bugs in Deep Learning Libraries

Abstract In recent years, deep learning has become a hot research topic. Although it can yield unexpectedly positive results in some cases, bugs within deep learning software can lead to catastrophic consequences, especially when the software is used in safety-critical applications. In this paper, we present an empirical study of a typical deep learning library—TensorFlow—analyzing … Read more

Challenges and Opportunities of Generative AI in C Language Programming Education

Challenges and Opportunities of Generative AI in C Language Programming Education

0 Introduction C language programming is widely offered as an introductory course in the field of information technology across various universities. Due to differences in student abilities and enthusiasm, ensuring that students effectively master C language poses a significant teaching challenge. With the emergence of generative AI, these tools can utilize conversational models to provide … Read more

Prompt Sapper: The Soulmate of Foundation Models and an Innovation Hub for AI Services

Prompt Sapper: The Soulmate of Foundation Models and an Innovation Hub for AI Services

Machine Heart Column Authors: Xing Zhenchang (CSIRO’s Data61), Huang Qing (JXNU), Cheng Yu (JXNU) The SE4AI team from CSIRO’s Data61 and the Intelligent Software Engineering Laboratory at Jiangxi Normal University jointly developed the world’s first no-code production platform for AI chains, Prompt Sapper, along with corresponding methodologies and an AI service marketplace.Foundation models have brought … Read more

MetaGPT: Enhancing Software Engineering Efficiency with SOPs

MetaGPT: Enhancing Software Engineering Efficiency with SOPs

1 Content Overview Significant progress has been made in automating problem-solving through a group of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can now handle simple conversational tasks. However, solutions for more complex tasks become complicated due to logical inconsistencies, which are caused by the cascading hallucinations that arise from directly … Read more

MetaGPT: A Multi-Agent Collaborative Metaprogramming Framework

MetaGPT: A Multi-Agent Collaborative Metaprogramming Framework

Abstract: MetaGPT is an innovative metaprogramming framework that encodes standard operating procedures into prompt sequences, enabling agents with human domain expertise to validate intermediate results and reduce errors for a smoother workflow. MetaGPT utilizes an assembly line paradigm to assign different roles to various agents, efficiently breaking down complex tasks into subtasks that involve collaboration … Read more

Why AI Agents Seem Less Intelligent Than Expected

Why AI Agents Seem Less Intelligent Than Expected

Note: AI agents are sometimes not the right tools for the job. Recently, a popular prediction is that software engineering will primarily be done by AI agents working autonomously in the background, while human developers mainly manage and guide these agents (supported by figures like Mark Zuckerberg and others). This differs from the “co-pilot” model … Read more

Devin: A Month of Disappointment in AI Programming

Devin: A Month of Disappointment in AI Programming

Machine Heart Reports Machine Heart Editorial Team After working with Devin for a month, these researchers provided some less than optimistic feedback. In the field of AI programming, you may have heard of Devin, a product released by the startup Cognition. Devin acts like a super-intelligent assistant, helping engineers complete their work faster and better. … Read more