Prompt Engineering for Agentic AI
You have probably spent time learning how to prompt AI well.
You have probably spent time learning how to prompt AI well.
Design patterns for scalable voice agents matter for organizations that need to deliver fast, natural, and reliable voice experiences. Many teams face challenges like high latency, managing real-time audio, and coordinating multiple agents in complex workflows. In this post, you’ll learn how to use Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands BidiAgent to build …
At Google Cloud Next ‘26, we unveiled the blueprint for the Agentic Enterprise, sharing our eighth-generation TPUs, Gemini Enterprise Agent Platform, a fully reimagined Agentic Data Cloud, Workspace Intelligence, and security built for the AI era. Today at Google I/O, we’re delivering a new set of powerful AI innovations and models — and putting them …
Read more “Everything Google Cloud customers need to know coming out of Google I/O”
For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its annual I/O developer conference, Google announced a sweeping redesign of …
Three of five regional winners of the prestigious Commonwealth Short Story Prize are suspected of relying on chatbots. They’re certainly not alone.
Researchers at Penn have created a hybrid light-matter particle that could dramatically speed up AI computing while using far less energy. The breakthrough may help replace some electronic computing processes with ultra-efficient light-based technology.
A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate human conversation so convincingly that people can’t reliably tell it apart from a real person. In a series of experiments, people …
Read more “AI can seem more human than real humans in a classic Turing test”
https://lance-project.github.io/ https://github.com/bytedance/Lance https://huggingface.co/bytedance-research/Lance submitted by /u/HatEducational9965 [link] [comments]
Search works well when users know exactly what they are looking for, but it breaks down when intent is described in natural language.
If you moderate user-generated content at scale, you need a system that catches policy violations accurately without over-flagging legitimate posts. A moderation system that misses harmful content puts you at risk, while one that flags too aggressively frustrates your audience. Every organization defines its own policies, so a single classifier rarely works for every use …