If you’re developing a product powered by a large language model (LLM), you might wonder: How do I measure whether it’s working as intended? Should you focus on its ability to generate fluent ...

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...

[Simon Willison] has put together a list of how, exactly, one goes about using a large language models (LLM) to help write code. If you have wondered just what the workflow and techniques look like, ...

Open-source large language models (LLMs) continue to revolutionize the cybersecurity landscape, serving as a strong catalyst for increasing innovation and enabling startups and established vendors ...

To meet the web content crawlability and indexability needs of large language models, a new standards proposal for AI/LLMs by Australian technologist Jeremy Howard is here. His proposed llms.txt acts ...

The emergence of self-evolving large language models (LLMs) signifies a pivotal moment in the realm of artificial intelligence. These models, capable of autonomously updating their parameters with new ...

As artificial intelligence becomes more advanced, large language models (LLMs) AI systems that can distill waves of data to create meaningful outputs for the user will become the foundation of future ...

The digital world is buzzing with talk of generative AI, with tools like OpenAI’s GPT-4, Google’s Gemini and other large language models (LLMs) at the forefront. These tools redefine what’s possible ...