Ben chats with Gias Uddin, an assistant professor at York University in Toronto, where he teaches software engineering, data science, and machine learning. His research focuses on designing intelligent tools for testing, debugging, and summarizing software and AI systems. He recently published a paper about detecting errors in code generated by LLMs. Gias and Ben discuss the concept of hallucinations in AI-generated code, the need for tools to detect and correct those hallucinations, and the potential for AI-powered tools to generate QA tests. https://stackoverflow.blog/2024/09/20/detecting-errors-in-ai-generated-code/
Zaloguj się, aby dodać komentarz
Inne posty w tej grupie
We chat with Deedy Das, a Principal at Menlo Ventures, who began his career as a software engineer at Facebook and Google. He then dipped a toe in the startup world, spending time at the company now k
Masked self-attention is the key building block that allows LLMs to learn rich relationships and patterns between the words of a sentence. Let’s build it together from scratch. https://stackoverflow.b
Founder and entrepreneur Jyoti Bansal tells Ben, Cassidy, and Eira about the developer challenges he aims to solve with his new venture, Harness, an AI-driven software development platform meant to ta
How are developers actually using GenAI-powered coding tools now that some of the initial hype has faded? https://stackoverflow.blog/2024/09/23/where-developers-feel-ai-coding-tools-are-working-and-wh
Today, we're excited to share details about our latest experiment that aims to make your search results in Stack Overflow for Teams Enterprise even more relevant and useful. https://stackoverflow.blog
Ryan chats with Russ d’Sa, cofounder and CEO of LiveKit, about multimodal AI and the technology that makes it possible. They talk through the tech stack required, including the use of WebRTC and UDP p
Ben and Ryan talk to Scott McCarty, Global Senior Principal Product Manager for Red Hat Enterprise Linux, about the intersection between LLMs (large language models) and open source. They discuss the
