LLM-As-A-Judge: What To Expect From Using AI To Evaluate AI

Every day, enterprise AI systems generate millions of responses that no human will ever read. Customer support bots, document ...
Geeky Gadgets

Using LangGraph to create multi-agent LLM coding AI frameworks

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...
Ars Technica

How AI coding agents work—and what to remember if you use them

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...
InfoWorld

How to choose the best LLM using R and vitals

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...
Hackaday

Measuring The Impact Of LLMs On Experienced Developer Productivity

Recently AI risk and benefit evaluation company METR ran a randomized control test (RCT) on a gaggle of experienced open source developers to gain objective data on how the use of LLMs affects their ...
Dark Reading

Getting a Cybersecurity Vibe Check on Vibe Coding

Vibe coding, the act of using natural language to instruct large language models (LLMs) to generate code, is on the rise. A wide number of emerging startups and platforms aimed at packaging the ...
Infosecurity Magazine

How Security Leaders Can Safeguard Against Vibe Coding Security Risks

Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...