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Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...

Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate text that resembles human language. These models have evolved significantly, ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

ABSTRACT: This research empirically investigated asymmetric effect for volatility of currency rate exchange on foreign direct investment, inflation and Balance of Trade in Nigeria. Quarterly data on ...

This repository implements PixelCNN, an autoregressive model for image generation. It generates images pixel by pixel using masked convolutions to maintain directional dependencies. During inference, ...

Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, ...