DeltaNet
PulseAugur coverage of DeltaNet — every cluster mentioning DeltaNet across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New research explores unified routing for adaptive LLM efficiency · 2 sources tracked
Two new research papers explore methods to optimize the efficiency of large language models by dynamically adjusting computational resources based on token complexity. The first paper, "Linear Attention Architectures," …
-
New decoder architecture shows improved retention in small code models
Researchers have developed SamatNext v0.2-B, a 356M-parameter hybrid sequence decoder designed to mitigate forgetting in small code models during sequential fine-tuning. This experimental model alternates Differential-A…
-
New framework unifies sequence models using Bayesian memory
Researchers have introduced a "design-model" framework for creating efficient recurrent sequence maps based on memory assumptions. This framework uses Bayesian filtering to write evidence into memory and a query-depende…
-
New attention methods tackle LLM long-context challenges
Researchers are developing new attention mechanisms to handle increasingly long contexts in large language models. One approach, Runtime-Certified Bounded-Error Quantized Attention, uses tiered KV caches to compress mem…