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The second thing the authors add is to train the model with what's called "causal language modeling." CLM, for short, is the task that is used in GPT-3 and other decoder-only Transformers.
Inside AFM-4.5B’s architecture and training process The AFM-4.5B model uses a decoder-only transformer architecture with several optimizations for performance and deployment flexibility.
A standard transformer model analyzes the text before and after a word to understand its meaning. According to Microsoft, Phi-4-mini is based on a version of the architecture called a decoder-only ...
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Also: Google's Supermodel: DeepMind Perceiver is a step on the road to an AI machine that could process anything and everything The Transformer, the wildly popular neural network Google introduced ...
A Neuro Translator As a proof of concept, the team pitted the decoded responses against the actual story text. It came surprisingly close, but only for the general gist. For example, one story line, ...
Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? Authors: Guan, Y., Trinh, V.A., Voleti, V., and Whitehill, J. Publication Date: 2025 Publication Type: IEEE ...