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4 articles tagged LLM Architecture.
SAP's CAIO outlines the shift from traditional SaaS to Agents as a Service, emphasizing flexible LLM architectures, data sovereignty, and the strategic value of proprietary context. The analysis covers internal AI adoption, the rise of physical AI, and the imperative for daily experimentation to build competitive moats.
An analysis of Hierarchical and Tiny Recursive Models demonstrating that inference-time recursion and latent memory outperform parameter scaling. These architectures achieve state-of-the-art results on complex reasoning tasks with a fraction of the compute, signaling a shift in AI development strategy.
Columbia University professor Deshal Mesra presents a mathematical framework proving LLMs perform Bayesian updating. The analysis distinguishes correlation-based pattern matching from causal reasoning, identifying plasticity and causality as the two critical gaps preventing current models from achieving AGI.
Columbia professor Deshal Mesra argues that current LLMs are sophisticated Bayesian engines but lack causal reasoning and plasticity. This analysis explores the mathematical proof of transformer behavior and the strategic implications for the path to AGI.
