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