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optimization-techniques

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ksm26 / Efficiently-Serving-LLMs

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Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

text-generation batch-processing server-optimization model-serving model-acceleration inference-optimization optimization-techniques machine-learning-operations deep-learning-techniques model-inference-service performance-enhancement scalability-strategies serving-infrastructure large-scale-deployment
  • Updated Apr 12, 2024
  • Jupyter Notebook

KayvanShah1 / pos-tagging-hmm-adversarial-learning

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This repository contains the implementation of a Part-of-Speech (POS) tagging system using Hidden Markov Models (HMMs) along with various decoding techniques and adversarial training strategies for sequence labeling tasks. Project for course DSCI 599 - Optimization Techniques for Data Science, Fall 2023

python viterbi-algorithm natural-language-processing decoding hidden-markov-model greedy-algorithm pos-tagging sequence-labeling adversarial-learning optimization-techniques wall-street-journal part-of-speech-tagging perturbation-methods
  • Updated Dec 5, 2023
  • Python
codeForces-my-solutions

PacemakerX / codeForces-my-solutions

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This repository contains my solutions to various problems from Codeforces contests, aimed at improving problem-solving skills in competitive programming. Each submission is stored with detailed information, including contest IDs and problem names, making it easy to track progress and learn from past solutions.

competitive-programming problem-solving programming-challenges codeforces-solutions data-structure-and-algorithm optimization-techniques cpp-solutions codeforces-contests
  • Updated Apr 15, 2025
  • C++

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