Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

As businesses move from trying out generative AI in limited prototypes to putting them into production, they are becoming increasingly price conscious. Using large language models (LLMs) isn’t cheap, ...

Anthropic introduced prompt caching on its API, which remembers the context between API calls and allows developers to avoid repeating prompts. The prompt caching feature is available in public beta ...

A new tool from Microsoft aims to bridge the gap between application development and prompt engineering. Overtaxed AI developers take note. One of the problems with building generative AI into your ...

A single prompt can now unlock dangerous outputs from every major AI model—exposing a universal flaw in the foundations of LLM safety. For years, generative AI vendors have reassured the public and ...

The unified prompt interface offers a collaborative environment that enables users to design and experiment with prompts collectively. It empowers users to seamlessly design, test, and compare prompts ...

In the world of Large Language Models, the prompt has long been king. From meticulously designed instructions to carefully constructed examples, crafting the perfect prompt was a delicate art, ...

Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.