Tag: decoding
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Decoding Nonlinear Signals In Large Observational Datasets
Decoding Nonlinear Signals In Large Observational Datasets Rain, snow, or something In between? The post Decoding Nonlinear Signals In Large Observational Datasets appeared first on Towards Data Science. Fraser King Go to original source
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Advanced posterior analyses of hidden Markov models: finite Markov chain imbedding and hybrid decoding
Advanced posterior analyses of hidden Markov models: finite Markov chain imbedding and hybrid decoding arXiv:2504.15156v1 Announce Type: new Abstract: Two major tasks in applications of hidden Markov models are to (i) compute distributions of summary statistics of the hidden state sequence, and (ii) decode the hidden state sequence. We describe finite Markov chain imbedding (FMCI)…
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Combining Large and Small LLMs to Boost Inference Time and Quality
Combining Large and Small LLMs to Boost Inference Time and Quality Implementing Speculative and Contrastive Decoding Large Language models are comprised of billions of parameters (weights). For each word it generates, the model has to perform computationally expensive calculations across all of these parameters. Large Language models accept a sentence, or sequence of tokens, and…