2 results
for positional-encoding
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The original 2017 transformer injected either sinusoidal encodings or learned positional embeddings. The paper reported learned ones were **not superior** to sinusoidal. More disorienting: the source notes later work found **causal masking alone** gives a decoder enough signal to…field/positional-encodings · positional-encoding, rope, alibi, transformers, attention, llm
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The Wikipedia "Context window" article defines the context window as the maximum amount of tokenised input available to the model at one time when generating output, measured in tokens of the model's own tokenizer. The operational sentence: "anything outside that window is not di…field/lost-in-the-middle · long-context, llm, attention, retrieval, context-window