SWE-bench & SWE-agent | Data Brew | Episode 44
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
Written by:
About this listen
In this episode, Kilian Lieret, Research Software Engineer, and Carlos Jimenez, Computer Science PhD Candidate at Princeton University, discuss SWE-bench and SWE-agent, two groundbreaking tools for evaluating and enhancing AI in software engineering.
Highlights include:
- SWE-bench: A benchmark for assessing AI models on real-world coding tasks.
- Addressing data leakage concerns in GitHub-sourced benchmarks.
- SWE-agent: An AI-driven system for navigating and solving coding challenges.
- Overcoming agent limitations, such as getting stuck in loops.
- The future of AI-powered code reviews and automation in software engineering.
adbl_web_anon_alc_button_suppression_c
No reviews yet