Learn how attention mechanisms help AI models understand context by focusing on relevant parts of input text, enabling better language understanding.
More about Attention Mechanism
Attention Mechanism is a technique that allows AI models to focus on the most relevant parts of the input when generating each part of the output. In transformer architecture, self-attention enables the model to weigh the importance of different words relative to each other, capturing complex relationships in text.
This capability is crucial for contextual understanding in AI chatbots, allowing them to maintain coherent conversations and understand references to earlier parts of the dialogue.
