Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine cryptocurrency. It's the latest example of bad actor's using AI to create ...

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

The TASKING toolchain has been designed with a foundation that enables OEMs to develop functionally safe and secure systems. Modern AI capabilities are supported within the toolch ...

New agent step in Opal figures out the right tools and models it needs to accomplish the user’s objective, Google said.

International Business Machines Corporation stock plunges; downgrade IBM to Hold as Anthropic's Claude Code threatens ...