Tag: causal machine learning
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LPC-SM: Enhancing Long-Context Language Models
Discover LPC-SM, a novel architecture using local attention, sparse memory, and predictive correction to improve long-context language modeling accuracy.
Focus: Efficient Attention for Faster AI Models
Discover Focus, a method that boosts AI model efficiency by learning key token pairs, cutting complexity while improving performance and speed.
Accurate LLM Failure Rate Estimation with Constrained MLE
Discover a robust method for estimating LLM failure rates using constrained maximum likelihood estimation for safer AI deployment.
History-Dependent Perception in Adaptive Artificial Agents
Explore how artificial agents use history-dependent perceptual reorganization to adapt and encode observations differently for smarter AI behavior.
Anthropic Expands Compute Deal with Google & Broadcom
Anthropic boosts AI compute capacity with Google and Broadcom amid soaring demand, driving $30B run-rate revenue and advancing AI innovation.