Read full article about: ElevenLabs raises $19 million and launches tool to prevent AI audio fraud
AI voice synthesis startup ElevenLabs has launched a tool to detect and prevent generative audio fraud. Users can upload audio samples, and the AI speech classifier will determine whether the content was generated by its platform, with a claimed accuracy rate of 99% for unmodified input and 90% for modified input.
Concurrent with the launch, ElevenLabs raised $19 million in a Series A funding round co-led by Nat Friedman, Daniel Gross, and Andreessen Horowitz. The company plans to use the investment to build a voice AI research center and launch additional products targeting market verticals such as publishing, gaming, and entertainment.
Read full article about: The Wonders of Pre-Trained AI Models
Large Language Models (LLMs) are transforming software development, but their newness and complexity can be daunting for developers. In a comprehensive blog post, Matt Bornstein and Rajko Radovanovic provide a reference architecture for the emerging LLM application stack that captures the most common tools and design patterns used in the field. The reference architecture showcases in-context learning, a design pattern that allows developers to work with out-of-the-box LLMs and control their behavior with smart prompts and private contextual data.
"Pre-trained AI models represent the most significant architectural change in software since the internet."
Matt Bornstein and Rajko Radovanovic
