Large language models: The foundations of generative AI
Large language models (LLMs) such as GPT, Bard, and Llama have caught the public’s imagination and garnered a wide variety of reactions. They are also expected to grow dramatically in the coming years. According to Dimension Market Research, The Glo...
9to5Linux Weekly Roundup: February 16th, 2025
The 9to5Linux Weekly Roundup for February 16th, 2025, brings news about KDE Plasma 6.3, GNOME 48 Beta, EndeavourOS Mercury, GNOME 47.4, KDE Frameworks 6.11, openSUSE Tumbleweed adopting SELinux, Calibre 7.26, HandBrake 1.9.1, darktable 5.0.1, fwupd 2.0...
3 key features of Postman’s AI Agent Builder
The software landscape is shifting from passive business processes to dynamic, AI-driven workflows. AI agents—systems that interact with APIs, make decisions, and execute complex tasks—are at the forefront of this transformation. While large langu...
How to keep AI hallucinations out of your code
It turns out androids do dream, and their dreams are often strange. In the early days of generative AI, we got human hands with eight fingers and recipes for making pizza sauce from glue. Now, developers working with AI-assisted coding tools are also ...
What if generative AI can’t get it right?
Large language models (LLMs) keep getting faster and more capable. That doesn’t mean they’re correct. This is arguably the biggest shortcoming of generative AI: It can be incredibly fast while simultaneously being incredibly wrong. This may not be...
