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Los modelos de lenguaje visual de código abierto Kimi-VL y Kimi-VL-Thinking han superado a GPT-4o en varias pruebas de referencia. Estos modelos representan un avance significativo en el campo de la inteligencia artificial, combinando la capacidad de procesamiento del lenguaje natural con la comprensión de imágenes.

El 25 de marzo de 2025, Google lanzó oficialmente su modelo de lenguaje grande de última generación, Gemini 2.5, una noticia que rápidamente generó un gran revuelo en el mundo de la tecnología. Como una importante actualización de la tecnología de IA de Google, Gemini 2.5 ha sido aclamado como el modelo más inteligente de la compañía hasta la fecha, gracias a su excepcional capacidad de razonamiento y sus características multimodales, marcando otro hito en el desarrollo de la inteligencia artificial. Gemini 2.5 Pro Experimental fue el primero en aparecer. Según el anuncio del blog oficial de Google, Ge...

On January 20, 2025, Doubao App officially released its latest 'end-to-end' voice large model, with significant updates to its real-time voice call functionality. This development marks another leap for Doubao in the field of voice interaction, surpassing the previous ASR (Automatic Speech Recognition), LLM (Large Language Model), and TTS (Text-to-Speech) cascading solutions by integrating voice recognition, understanding, and generation into a single model. After testing by 'Intelligent Emergence,' the standout feature of the new Doubao version is its human-like capabilities.

The Seed-ASR engine launched by ByteDance achieves high-precision recognition of Mandarin, 13 Chinese dialects, and 7 foreign languages through massive training data, significantly enhancing the convenience of cross-language communication. Its key advantage lies in its excellent contextual awareness, accurately recognizing proper nouns, place names, and keywords by incorporating historical information, especially performing exceptionally well in specific scenarios, thereby improving recognition accuracy. Whether in daily conversations, complex meetings, or interactions among multiple people in noisy environments, Seed-ASR can transcribe accurately. It can also recognize various professional terms.

Tencent Cloud ASR has been upgraded to better handle dialects and noise. ASR supports recognition of 23 dialects and noise filtering. The large language model enhances recognition accuracy. The product is widely used by both internal and external enterprise clients, with Tencent Cloud ASR reaching a daily call volume of over 10 billion.

Amazon has released a next-generation ASR system that covers over 100 languages, providing comprehensive automatic speech recognition services. The speech foundation model improves accuracy by 20% to 50%, with enhancements of 30% to 70% in challenging areas such as telephone speech. The system supports multiple features, including automatic punctuation, custom vocabulary, automatic language identification, and speaker separation. Thousands of businesses are leveraging Amazon Transcribe to unlock insights from audio content, enhancing accessibility and discoverability.

OpenAI announced the upgraded automatic speech recognition model Whisper3 at the Developer Day. Whisper3 offers multi-language support and can quickly and accurately transcribe audio to text. OpenAI plans to make the Whisper3 API available to users.