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The article compares various local LLMs (Large Language Models) for alternative text generation, which is crucial for web content accessibility. The authors analyze how different models perform in crafting descriptions for images, an important necessity for blind or visually impaired individuals. Their study includes several popular models, focusing on both their effectiveness and processing speed, which is vital for developers and content creators. Additionally, best practices for choosing the right model based on specific project needs are provided. Overall, the article encourages further exploration and experimentation with LLMs to enhance their performance in generating alternative texts.