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optimization-techniques

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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.

  • Updated Apr 12, 2024
  • Jupyter Notebook

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

  • Updated Dec 5, 2023
  • Python

This repository contains an implementation of the Traveling Salesman Problem (TSP) solver using C++. The TSP is a classic algorithmic problem in the fields of computer science and operations research. The goal is to find the shortest possible route that visits a set of cities and returns to the origin city, visiting each city exactly once.

  • Updated Sep 26, 2024
  • C++

This project focuses on using sensor data to predict human activity and is based on the ExtraSensory dataset, created by Ph.D. students and staff at the Department of Electrical and Computer Engineering, University of California, San Diego.

  • Updated Mar 15, 2024
  • Jupyter Notebook

This repository contains a collection of projects focused on the development of self-driving car technology. The work demonstrates practical applications of key concepts in autonomous systems.

  • Updated Oct 2, 2024
  • Jupyter Notebook

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