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Recently, Meta AI open-sourced a foundational multimodal language model named SPIRIT LM, which can freely mix text and speech, opening new possibilities for multimodal tasks involving audio and text. SPIRIT LM is based on a pre-trained text language model with 7 billion parameters, which has been continuously trained on text and speech units, expanding into the speech modality. It can understand and generate text like a large text model, while also being capable of understanding and generating speech, and even mixing text and speech to create various forms of expression.

Amid the rapid development of artificial intelligence, Google's experimental AI product Notebook LM is drawing widespread attention. This application, dubbed the 'next ChatGPT', is redefining how we interact with information with its powerful features and unique user experience. Notebook LM's core advantage lies in its file processing capabilities. Users simply upload text, audio, or video files, and the AI can quickly extract key information and even generate simulated dialogue podcasts. This innovative interaction method not only

Jina AI has introduced two small language models designed specifically for transforming raw HTML content into clean and tidy Markdown format, helping us move away from tedious web data processing. The model, named Reader-LM, stands out for its ability to quickly and efficiently convert web content into Markdown files. The benefit of using it is that you no longer need to rely on complex rules or cumbersome regular expressions. These models cleverly auto-remove clutter from web pages.

AI audio creation company ElevenLabs, founded by former Palantir engineers, has announced the launch of its first iOS app: 'ElevenLabs Reader: AI Audio'.

Recently, ElevenLabs, a company focused on voice technology, launched an innovative application called Reader App, aimed at providing users with a brand-new reading experience. This app can convert various text content into high-quality speech playback, offering users a convenient mobile listening and reading experience. The core feature of the Reader App is its powerful text-to-speech capability. Users can easily upload content in various formats, such as articles, PDF files, ePub eBooks, and emails, to the application.

In this era of information overload, Particle, a San Francisco startup created by former Twitter engineers Sara Beykpour and Marcel Molina, is attempting to redefine our news reading experience using artificial intelligence.

Stability AI has released the portable language model Stable LM 3B, which has 3 billion parameters and is suitable for mobile devices. Stable LM 3B is compact, efficient, and outperforms other language models of similar size. The model can run on edge devices and home computers, with widespread applications in creative writing and other fields. Stable LM 3B shows significant improvements in text generation, achieving higher energy efficiency and reducing energy consumption. The model is released on the Hugging Face platform.