Encoder vs Decoder in LLMs: A Beginner’s Guide to Understanding Transformer Models
📰 Medium · NLP
Learn the difference between encoders and decoders in LLMs and how they work together in transformer models
Action Steps
- Read about the basics of transformer models
- Understand the role of encoders in reading and understanding input sentences
- Learn how decoders generate output sentences based on the encoder's output
- Explore the differences between encoder and decoder architectures
- Apply this knowledge to design and implement your own LLMs
Who Needs to Know This
NLP engineers and researchers can benefit from understanding the basics of encoder and decoder architecture in LLMs to design and implement more effective language models
Key Insight
💡 Encoders and decoders are two fundamental components of transformer models in LLMs, working together to read, understand, and generate text
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🤖 Understand the basics of encoder and decoder architecture in LLMs #LLMs #NLP
Key Takeaways
Learn the difference between encoders and decoders in LLMs and how they work together in transformer models
Full Article
This is one of the most important concepts in LLMs. The Big Idea Imagine you have three different jobs: 1. Read and understand a sentence… Continue reading on Medium »
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