awesome-repositories.com
© 2026 Bringes Technology SRL·VAT RO45896025·hello@bringes.io
MCPSitemapPrivacyTerms
Large Language Model Optimization · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesLarge Language Model Optimization

Methods and utilities specifically engineered to improve the speed and efficiency of large language model operations.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Large Language Model Optimization. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Optimization & Inference
  6. Serving & Runtime
  7. Large Language Model Optimization

Awesome Large Language Model Optimization GitHub Repositories

Describe the repository you're looking for…
We'll search the best matching repositories with AI.
  • Shubhamsaboo/awesome-llm-apps

    Shubhamsaboo/awesome-llm-apps

    96,116GitHubView on GitHub↗

    This repository serves as a comprehensive collection of resources, templates, and starter code for building artificial intelligence applications. It provides a centralized hub for developers to access practical implementations of common workflows, including retrieval-augmented generation pipelines and autonomous agent

    Utilities and techniques help reduce token consumption and operational costs while preserving output quality.

    Pythonagentsllmspython
  • fighting41love/funNLP

    fighting41love/funNLP

    78,999GitHubView on GitHub↗

    This project is a community-driven knowledge base and curated repository focused on natural language processing and large language model development. It serves as a centralized index for high-quality tools, libraries, and research materials, organizing technical resources into structured, version-controlled documentati

    Highlights efficient training and inference techniques designed to run massive models on hardware with constrained resources.

    Python

Explore sub-tags

  • Model Inference OptimizationsMethods for running large language models on constrained hardware resources.
  • Token Optimization UtilitiesTools for managing context window usage and reducing operational costs.