A look under the hood of transfomers, the engine driving AI model evolution
How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.
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Transformers and Beyond: Rethinking AI Architectures for Specialized Tasks
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
Interesting Engineering on MSN12d
World’s first quantum large language model launched, can shape future of AI
Developed by SECQAI, the QLLM enhances traditional AI models with quantum computing for improved efficiency and ...
Forbes1mon
Google’s Titans Give AI Human-Like Memory
In simple terms, Transformers have a sort of “spotlight” (called the attention mechanism) that looks at only the most relevant words or data points in a sentence or dataset at any given moment.
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.