Denying entry to flea-bitten service dogs
"Service dogs are not allowed to pose a health hazard."
You might already be familiar with the programming language best suited to building on blockchains.
Avoiding bad data is just as important in AI; it can open you to fines, lawsuits, and lost customers.
Financial institutions face a balancing act between tech innovation and strict regulations. As customer expectations for improved user experience and demands from those tasked with enhancing features keep rising, engineering teams need to find a harmonious middle ground.
Self-supervised learning is a key advancement that revolutionized natural language processing and generative AI. Here’s how it works and two examples of how it is used to train language models.
An update on recent launches and the upcoming roadmap
Is “agentic AI” just a buzzword, or is it the sea change it seems?
AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges.
As with cars, there are few system administration tasks that involve little to no automation.
In March, over 1,000 developers and technologists gave us insights into what they think about open source and the role it plays with AI.
AI is changing how we think about coding. While tools evolve, critical thinking, problem-solving, and creativity remain the essential skills for top developers.
Data has always been key to LLM success, but it's becoming key to inference-time performance as well.
In the first episode of our new podcast series, Leaders of Code, we sat down with Don Woodlock, Head of Global Healthcare Solutions at InterSystems, and Stack Overflow CEO Prashanth Chandrasekar to discuss data strategy's critical role in AI development.
Some high-level takeaways, with more to come.
Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution.
More developers are sandwiched between caring for kids and older relatives. What does this mean for them and for the industry as a whole?
For those that missed our February AMA, let’s discuss the future of Stack Overflow
Think of it as near-future science fiction backed by research.
Here's why optimizing code is hard, brute-force work.
AI is coming for everyone who excels at weird niche trivia.
Hello fellow human, have you heard the latest hot goss about currentCampaign.product?
The internet is becoming more disorienting by design.
It's the opposite of an emulator.
Debugging becomes way harder when you have 45 hours of latency between command and response.
Raccoons are a lot like early PC users: dark circles around their eyes, eat garbage, and occasionally hide in the attic.
If you want to succeed, read about failure.
If you look hard enough, you may find a fifth kind.
The latest in a wild ride: funding cut, new foundation to take over, funding renewed so there's no downtime.
Over the next four years, you'll need some sort of automation to manage your TLS certificates.
Every week we’ll share a collection of great questions from our community, news and articles from our blog, and awesome links from around the web.
Previous issues Subscribe on Stack Overflow