Top picks for generative AI readers on InfoWorld
AI will require more software developers, not fewer
Data show AI assistants make it significantly faster and easier to develop software, spurring companies to tackle more software projects—and (surprise!) hire more developers.
Five questions to answer before you deploy an LLM
Before you jump on the AI bandwagon, you’ll want to answer a few key questions. Maybe a good place to start is, “Am I about to get sued?”
Measuring success in dataops, data governance, and data security
How should data and AI leaders measure the effectiveness of their dataops, data governance, and data security practices? We asked the experts.
Let’s get real about AI model performance
AI vendors tout rapid advances with each iteration of their models, but they’re often hard to quantify beyond just “vibes.” Enter the Vector Institute for Artificial Intelligence, a new project to establish independent benchmarks for AI.
More good reads and generative AI updates elsewhere
When it comes to language models, smaller might be better
LLMs are touted as the route to a human-level (or superhuman) artificial general intelligence. But when it comes to practical applications, small language models may pack more punch.
When will AI be smarter than people? That’s the wrong question
AGI, or artificial general intelligence, is the buzzword du jour in AI-boosting circles. But this idea mostly ignores the fact that human intelligence—the benchmark AGI is measured against—isn’t really “general.”
Is ChatGPT addiction about to be a problem?
A joint study conducted by OpenAI and MIT Media Lab found that a subset of very regular ChatGPT users may develop a parasocial relationship with AI. And these users really don’t appreciate changes in model behavior.