Salesforce - Vendor Definition
Transformers are a type of deep learning model, and are especially useful for processing language. They’re really good at understanding the context of words in a sentence because they create their outputs based on sequential data (like an ongoing conversation), not just individual data points (like a sentence without context). The name “transformer” comes from the way they can transform input data (like a sentence) into output data (like a translation of the sentence).
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Anthropic Claude
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It seems you might be interested in one of two things: electrical transformers or transformers in AI. I'll explain both!
1. Electrical Transformers
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2. Transformers in AI (like in "Transformers" by Google)
This refers to a specific type of neural network architecture that revolutionized natural language processing (NLP).
What it does: Transformers are incredibly good at understanding and generating human language. They power things like Google Translate, chatbots, and text summarization tools.
Key idea: Attention: Unlike older models that processed words sequentially, transformers can consider the entire input sequence at once, figuring out which parts are most relevant to each other. This "attention mechanism" is key to their power.
Why they're important:
Better language understanding: They capture context and relationships between words more effectively.
Improved performance: They achieve state-of-the-art results on various NLP tasks.
Versatility: They can be applied to other areas, like image recognition and music generation.
In summary:
Electrical transformers change the voltage of electricity.
AI transformers are neural networks that excel at understanding and generating human language.
Hopefully, this clarifies both types of transformers! Let me know if you have any other questions
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