Glossary · AI
What is
Transformer?
The neural network architecture underlying virtually every modern LLM.
By Anish· Founder · Vedwix
·Definition
Transformers use self-attention to process sequences in parallel, capturing long-range dependencies that older RNNs could not. Introduced by the 2017 "Attention Is All You Need" paper, transformers now power language, vision, audio, and multimodal models. The decoder-only variant (GPT, Llama, Claude) dominates language tasks.
Example
GPT-4, Claude 3, Llama 3, and Gemini are all decoder-only transformers.
How Vedwix uses Transformer in client work
Foundational. We rarely train transformers from scratch — fine-tuning a strong base is almost always better.
Building with Transformer?
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