Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
Morning Overview on MSN
Why LLMs are stalling out and what that means for software security?
Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...
As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing series about vibe ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Large language models (LLMs) like ChatGPT and Claude are best known for their writing abilities, drafting ad copy, summarizing reports, and helping brainstorm blog content. However, most marketers ...
A new report today from code quality testing startup SonarSource SA is warning that while the latest large language models may be getting better at passing coding benchmarks, at the same time they are ...
Description: Experts argue LLMs won’t be the end-state: new architectures (multimodal, agentic, beyond transformers) will supersede them.
How we can take advantage of generative AI, common application structures, and systematic code reuse to drive faster and more innovative digital product development. In 2009, DevOps emerged as an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results