systems

in production, Hallucinations do not appear as errors: They appear as responses that people initially rely on. However, this initial trust can be costly. What we are seeing in actual …

My first attempt at building a travel planning agent looked exactly like the initial prototype: a large model, a few tools, and a long system prompt. This worked well until …

OpenAI’s engineering secret? silicon Valley OpenAI’s journey is strongly linked with the development of Silicon Valley as the technological nerve center of the world. Here, infrastructure innovators, deep research labs, …

That reality has created bottlenecks and maintenance burdens, and its impact on performance is visible. Today, less than half of CIOs (48%) say their current digital initiatives are meeting or …

In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple logic paths in parallel and dynamically prunes them using consensus signals and early stopping. We focus on …

3. Permissions by design: tie tools to tasks, not models A common anti-pattern is to give the model long-lasting credibility and hopefully keep it humble. SAIF and NIST argue the …

In this tutorial, we implement a dual-agent governance system that applies constitutional AI principles to financial operations. We demonstrate how we separate execution and inspection by combining a worker agent …

AI agents – systems capable of reasoning, planning, and taking action – are becoming a common paradigm for real-world AI applications. From coding assistant For personal health trainers, the industry …

Author(s): Ganesh Bajaj Originally published on Towards AI. A Guide to SOC, Firmware, Drivers, Kernels and Operating Systems Every time you tap your smartphone’s screen, click the mouse, or save …

Met Office data and legal documents from the National Archives could be used by artificial intelligence systems as the UK government pushes ahead with plans to employ nationally owned content …