n8n is a powerful yet easy-to-use workflow and automation tool for multi-step AI agents, and many teams want a simple, scalable, and cost-effective way to self-host it. With just a few commands, you can deploy n8n to Cloud Run and have it up and running, ready to supercharge your business with AI workflows that can …
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The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new framework for testing, improving and optimizing AI agents in containerized environments. The dual release aims to address long-standing pain points in testing and optimizing AI agents, particularly those …
Many critical systems are still being maintained, and the cloud provides some security cover. But experts say that any lapses in protections like patching and monitoring could expose government systems.
Researchers at the University of New Hampshire have harnessed artificial intelligence to accelerate the discovery of new functional magnetic materials, creating a searchable database of 67,573 magnetic materials, including 25 previously unrecognized compounds that remain magnetic even at high temperatures.
Edit: Included more details in my workflow I was working on in the Context section. I just really wanted to say thank you to all of you folks in here who have been so helpful and patient and amazing regardless of anyone’s knowledge level. This sub is VERY different from “big reddit” in that most …
Holiday season 2025 is introducing a new set of norms for retailers amid ongoing tariff pressures. In the face of increased costs of materials, sourcing shifts, and ever-more cautious spenders, marketers are adjusting their Black Friday strategies and use of language — and doubling down on certain incentives — to court and convert consumers this …
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From November 6 to November 21, 2025 (starting at 8:00 a.
Every large language model (LLM) application that retrieves information faces a simple problem: how do you break down a 50-page document into pieces that a model can actually use? So when you’re building a retrieval-augmented generation (RAG) app, before your vector database retrieves anything and your LLM generates responses, your documents need to be …
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TL;DR: Artificial Intelligence learns patterns from data and uses them to make predictions, generate content, or solve problems. Generative AI, such as ChatGPT or image and video generators, takes this a step further by creating new things, text, art, music, and more, that have never existed before. People often ask: “How does AI actually work?” …
Text Normalization (TN) is a key preprocessing step in Text-to-Speech (TTS) systems, converting written forms into their canonical spoken equivalents. Traditional TN systems can exhibit high accuracy, but involve substantial engineering effort, are difficult to scale, and pose challenges to language coverage, particularly in low-resource settings. We propose PolyNorm, a prompt-based approach to TN using …
Read more “PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech”