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El 3 de julio, el instituto francés de investigación en inteligencia artificial Kyutai Labs anunció el lanzamiento del código abierto de su última tecnología de síntesis de voz (TTS), Kyutai TTS, ofreciendo soluciones de generación de voz eficientes y en tiempo real a desarrolladores e entusiastas de la IA. Kyutai TTS destaca por su bajo latencia y sonido de alta fidelidad, permitiendo la transmisión de texto en flujo, comenzando a generar audio sin necesidad de tener todo el texto completo, especialmente adecuado para escenarios de interacción en tiempo real. Kyutai TTS destaca por su excelente rendimiento. Utiliza una sola tarjeta gráfica NVIDIA L40S

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

Recently, Meta Platforms is facing a major decision, possibly abandoning its self-developed Llama AI model and adopting artificial intelligence systems from competitors such as OpenAI and Anthropic. This change reflects a significant adjustment in Meta's open-source AI strategy and also shows the company's dissatisfaction with its own product performance. The turning point occurred at the Llama 4 launch event in April, where the product was presented at Meta's Llama

Hoje, o Hello, o Grupo Ant e a BYD, por meio de seus investidores, registraram conjuntamente a empresa Shanghai Zao Fu Intelligent Technology Co., Ltd. em Xangai. Esta nova empresa

A recent paper published by researchers from Stanford University, Cornell University, and West Virginia University shows that Meta's Llama3.1 AI model can reproduce large amounts of copyrighted book content word for word, posing potential significant legal risks for the tech giant. The study indicates that the Llama3.170B model was able to reproduce 42% of the text from 'Harry Potter and the Philosopher's Stone' in testing, far exceeding the 4.4% reproduced by the first-generation Llama model. Artificial intelligence models, such as Ope

Recently, a move by Meta founder Mark Zuckerberg has drawn significant attention. Disappointed with the performance of the company's latest open-source large model, Llama4, Zuckerberg has decided to personally form a brand-new 'Superintelligence Team' in an effort to regain competitive advantage in the field of artificial intelligence. The goal of this new team is to achieve general artificial intelligence (AGI), making machines reach human-level performance across multiple tasks. According to insider sources, Zuckerberg has prioritized the formation of the new team and has already established a group called

NVIDIA officially released Llama Nemotron Nano VL on June 3, 2025. This compact visual-language model (VLM) is specially optimized for document intelligence processing. The model topped the OCRBench v2 benchmark test, showcasing its outstanding capabilities in handling complex documents, charts, and video frames. With efficient inference performance and flexible deployment options, Llama Nemotron Nano VL provides enterprises with solutions from the cloud.

According to a new analysis, the power consumption of artificial intelligence is expected to reach nearly half of the total electricity consumption of global data centers by the end of 2025, meaning AI energy consumption will soon surpass bitcoin mining. The analysis was conducted by Alex de Vries-Gao, a Ph.D. student at the Environmental Institute of Vrije Universiteit Amsterdam. He has previously tracked the power consumption and environmental impact of cryptocurrencies and published related data on his website Digiconomist. Currently, AI has already accounted for a significant portion of data center energy usage.

En la era digital, la comodidad y seguridad de la identificación del usuario se vuelven cada vez más importantes. OpenAI anunció recientemente que está trabajando en una manera de

Meta announced a major reorganization of its AI division, splitting it into two core teams: 'AI Products' and 'AGI Foundations'. This move aims to address technical challenges and accelerate product development. In this restructuring, the original AI division has been divided into two key teams: the 'AI Products' team, led by Connor Hayes, focuses on the Meta AI Assistant and its functional applications on platforms such as Facebook, Instagram, and WhatsApp. The 'AGI Foundations' team is led by Ahm

Recentemente, a Microsoft lançou gratuitamente no seu navegador Edge o novo recurso de assistente de IA, o Copilot Vision. Este recurso oferece aos usuários uma experiência mais inteligente, permitindo a interação por voz com o assistente de IA para interpretar o conteúdo na tela em tempo real, ajudando os usuários a concluir várias tarefas. De acordo com Mustafa Suleyman, CEO de IA da Microsoft, o Copilot Vision é um recurso de assistente baseado em voz. Para usar, os usuários simplesmente precisam ativar o recurso,

Meta's open-source large language model, Llama-4-Maverick, has experienced a dramatic drop in LMArena rankings, plummeting from second place to 32nd. This significant shift has sparked widespread skepticism among developers, who suspect Meta may have manipulated the benchmark by submitting a specially optimized version. The issue stems from Meta's April 6th release of its latest large language model, Llama 4, encompassing three versions: Scout, Maverick, and Behemoth.

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.