Skip to content
#

ai-optimization

Here are 8 public repositories matching this topic...

Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and accessible AI models.

  • Updated May 22, 2024
  • Jupyter Notebook

Optimize Google Chrome with installation tweaks, registry adjustments, flags, debloating, file compression, and AI optimizations. Reduce memory and CPU usage for faster performance and improved search results.

  • Updated Mar 8, 2025
  • Batchfile

Agentic Workflow Evaluation: Text Summarization Agent. This project includes an AI agent evaluation workflow using a text summarization model with OpenAI API and Transformers library. It follows an iterative approach: generate summaries, analyze metrics, adjust parameters, and retest to refine AI agents for accuracy, readability, and performance.

  • Updated Feb 23, 2025
  • Python

This repository explores OpenAI’s o1 model, a cutting-edge AI designed for abstract reasoning, coding, and vision-based tasks. It provides insights into o1’s strengths, advanced prompting techniques, task delegation, and real-world applications, enabling developers to build intelligent, high-performance AI-driven solutions.

  • Updated Feb 5, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the ai-optimization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-optimization topic, visit your repo's landing page and select "manage topics."

Learn more