Hunyuan Video
🔄 Transformers: The Engine Behind Modern AI What They Are: Transformers are a neural network architecture introduced in 2017 (by the paper “Attention is All You Need”). They revolutionized AI by allowing models to understand context across sequences (especially language). Core Mechanism: Use a mechanism called self-attention to weigh the importance of each part of input data relative to others. This allows the model to process entire sentences, documents, images, or even videos holistically, rather than step-by-step. Key Transformer-Based Models Today: GPT-4, Claude 4, Gemini 2, LLaMA 3 (large language models) DALL·E 3, Midjourney v6 (text-to-image generation) Whisper v3 (speech recognition) Code LLMs (like OpenAI's Codex, used for writing code)