Category: AI

Anthropic has scored a major victory in an ongoing legal battle over artificial intelligence models and copyright, one that may reverberate across the dozens of other AI copyright lawsuits winding through the legal system in the United States. A…

In this tutorial, we will explore how to use Microsoft’s Presidio, an open-source framework designed for detecting, analyzing, and anonymizing personally identifiable information (PII) in free-form text. Built on top of the…

“With fire in particular, times are compressed so much that you have to apply technology to make a decision within the timeframe that you can impact the outcome of what’s happening,” Collins says.

Krystal Azelton, a senior director at the…

Upstage’s Groundedness Check service provides a powerful API for verifying that AI-generated responses are firmly anchored in reliable source material. By submitting context–answer pairs to the Upstage endpoint, we can instantly…

The Challenge: Scaling Autonomous Agents with RL

Autonomous AI agents have been at the forefront of taking computational abilities to various real-world tasks, and reinforcement learning (RL) is the key approach in agent…

Why Web Agents Struggle with Dynamic Web Interfaces

Digital agents designed for web environments aim to automate tasks such as navigating pages, clicking buttons, or submitting forms. These agents operate by interpreting browser…

How Businesses Use Text-to-Speech for Marketing Campaigns

In today’s digital landscape, audio content is revolutionizing how brands connect with their audiences. Among the many tools available, text-to-speech (TTS) technology has emerged as a…

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio). It then walks through the…

Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency and reusability: Reinforcement-Learned Teachers (RLTs). Traditional reinforcement learning (RL) approaches in LLMs are plagued by…