While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Testing AI prompts is crucial to ensure they meet your specific requirements and deliver optimal performance. This guide by Mark Kashef presents practical methods for evaluating prompts using various ...

The use of advanced engineering frameworks to control the output of AI prompts can be very useful if you are struggling to write prompts yourself or would like to refine a prompt even further. This ...

The endeavor of taming language learning models (LLMs) to serve the purposes of your organization can be a tricky process. The unpredictability of these wonders of artificial intelligence (AI) can ...

Developers can now integrate large language models directly into their existing software using a single line of code, with no manual prompt engineering required. The open-source framework, known as ...

HackerOne has released a new framework designed to provide the necessary legal cover for researchers to interrogate AI systems effectively.

DSPy (short for Declarative Self-improving Python) is an open-source Python framework created by researchers at Stanford University. Described as a toolkit for “programming, rather than prompting, ...

TOWNSVILLE, QUEENSLAND, AUSTRALIA, January 7, 2026 /EINPresswire.com/ — As artificial intelligence becomes ubiquitous in 2026, small business owners face a new ...

These ChatGPT prompts turn messy brainstorming into clearer ideas.

Expert AI Prompts launches its ‘Context-First’ framework to combat small business burnout. Industry-specific prompts end the era of generic content. TOWNSVILLE ...