all AI news
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
April 11, 2024, 9:15 p.m. | Mike Young
DEV Community dev.to
This is a Plain English Papers summary of a research paper called SWE-bench: Can Language Models Resolve Real-World GitHub Issues?. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter.
Overview
- Researchers find real-world software engineering tasks to be a useful testbed for evaluating the capabilities of large language models (LLMs)
- They introduce SWE-bench, an evaluation framework with 2,294 software engineering problems from GitHub issues and pull requests across …
aimodels analysis engineering english github language language models newsletter overview paper papers plain english papers research researchers research paper software software engineering summary swe tasks twitter world
More from dev.to / DEV Community
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Software Engineer, Generative AI (C++)
@ SoundHound Inc. | Toronto, Canada