Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...

The Contagious Interview campaign weaponizes job recruitment to target developers. Threat actors pose as recruiters from crypto and AI companies and deliver backdoors such as OtterCookie and ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Here’s a quick look at 19 LLMs that represent the state-of-the-art in large language model design and AI safety—whether your goal is finding a model that provides the highest possible guardrails or ...

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

Cisco is hiring an AI Process Automation Expert to lead the design, development, and deployment of intelligent automation solutions across enterprise workflows.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.