State-level AI laws are being enacted at a rapid pace, but this is creating a Byzantine array of AI restrictions. AI makers struggle. An AI Insider analysis and scoop.

Local models are trained on tool calling these days, and they can be pretty good at it, too.

My local LLM can access my emails easily, and without flooding the context window.

I tested the new Claude Desktop on Linux - here's how it compares to rival apps ...

Traditional RAG typically retrieves relevant text from a vector database and supplies it to an LLM as context. Automation ...

A year ago the Ryzen AI Halo, AMD's tiny new AI workstation, would have offered devs and machine learning enthusiasts an ...

Whilst the adoption of AI tools in our workplaces definitely hasn't taken place overnight, it's easy enough to feel like the ...

Ask a major AI chatbot or internet search engine a question such as: “How did the US bombing of Iran affect global oil prices?” and you’ll get a slew of confident-sounding figures, site links, and ...

LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous ...