Loading…

Issue 247: Elevating the search experience

Welcome to ISSUE #247 of The Overflow! This newsletter is by developers, for developers, written and curated by the Stack Overflow team and Cassidy Williams. This week: Taking a look at the tech stack that powers multimodal AI, the first rule of machine learning, and whether it’s possible to build a world without sound.

From the blog

Elevating your search experience: Stack Overflow for Teams ML-powered reranking experiment

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.

Looking under the hood at the tech stack that powers multimodal AI

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 protocols for real-time audio and video streaming. They also explore the big challenges involved in ensuring privacy and security in streaming data, namely end-to-end encryption and obfuscation.

The world’s largest open-source business has plans for enhancing LLMs

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 challenges and benefits of open-source LLMs, the importance of attribution and transparency, and the revolutionary potential for LLM-driven applications. They also explore the role of LLMs in code generation, testing, and documentation.

Detecting errors in AI-generated code

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.

Interesting questions

My team is not responsive to group messages and other group initiatives. What should be the appropriate solution?

Hello? Is there anybody in there? Just nod if you can hear me.

How to make a soundless world

"Active Noise Cancellation on a planet scale. I like it.”

Why are there no domain commands in DDD?

In the absence of user actions, commands are unnecessary.

I didn't make it into a graduate program last year. How can I make a compelling case with an unchanged profile?

“Nothing has changed, and I don’t know what went wrong last time.”

Links from around the web

Oracle, it’s time to free JavaScript.

This is the latest serious effort to "free" the term JavaScript from its trademark at Oracle.

Open source needs to be financially symbiotic

The Eleventy framework has gone from side project to fully funded, independent open-source framework.

The first rule of machine learning: start without machine learning

Before throwing AI at a problem, try to understand your data first.

2024: 0.5% of the global top 200 websites use valid HTML

HTML conformance data is in! Let’s unpack the good and not-so-good news.


Spending hours searching for answers at work? Find them faster in Stack Overflow for Teams. Get it free!