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Google Cloud Platform recently announced that Meta's latest generation of open-source large language models, Llama 4, is now available in its Vertex AI Model Garden. The news has generated significant excitement in the global tech community. The Scout and Maverick models from the Llama 4 series are now integrated into Vertex AI and available to developers via fully managed Model-as-a-Service (MaaS) API endpoints in preview.

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

Meta, the American tech giant, has released Llama 4, its most powerful open-source AI model. The initial release includes two models: Llama4Scout and Llama4Maverick. Llama4Scout boasts 109 billion parameters, 17 billion active parameters, and 16 experts. Its key feature is support for a 10 million context window, enabling processing of over 20 hours of video, all while running on a single H100 GPU (after Int4 quantization).

Mark Zuckerberg recently announced that Meta will invest up to $65 billion by 2025 to enhance its artificial intelligence (AI) projects. He posted on Facebook that 2025 will be a crucial year for AI, with expectations that Meta's AI assistants will serve over 1 billion users, and the Llama4 model will become an industry-leading cutting-edge model. Additionally, Meta plans to develop an AI engineer capable of gradually contributing code to the company's R&D efforts.

The field of artificial intelligence is witnessing an intense competition. Renowned blogger Rowan Cheung recently posed a thought-provoking question on social media: Who will lead the next wave of the AI revolution—Claude 3.5 Opus, Gemini 2, or Llama 4? This statement quickly sparked widespread discussion in the tech community, with even former OpenAI employee and current Google Gemini team member Logan Kilpatrick joining in, provoking countless speculations with his mysterious expressions.

As the developer of the Llama foundation language model, Meta points out that the computing power required for future model training will significantly increase, with the expected training amount for Llama 4 being 10 times that of Llama 3. In light of this trend, Meta emphasizes the importance of building training capabilities in advance to avoid falling behind in the competition. Meta has released Llama 3, which has 80 billion parameters, and its upgraded version Llama 3.1, which reaches 405 billion parameters, making it its largest open-source model. To meet future model demands, Meta is