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#

ai-optimization

Here are 35 public repositories matching this topic...

Prompt Booster: A comprehensive tool for optimizing LLM prompts with version control, A/B testing, and template management. Supports multiple AI providers (OpenAI, Gemini, DeepSeek, Qwen, etc.) across web and desktop platforms. Increase your AI prompt effectiveness with professional engineering tools.

  • Updated Dec 19, 2025
  • TypeScript

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

Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.

  • Updated Apr 3, 2025
  • Python

The course teaches how to fine-tune LLMs using Group Relative Policy Optimization (GRPO)β€”a reinforcement learning method that improves model reasoning with minimal data. Learn RFT concepts, reward design, LLM-as-a-judge evaluation, and deploy jobs on the Predibase platform.

  • Updated Jun 13, 2025
  • 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 21, 2025
  • Batchfile

Elixir implementation of GEPA: LLM-driven evolutionary optimization using Pareto-efficient search for text-based systems. Features OpenAI/Gemini integration, BEAM concurrency, OTP supervision, 218 tests with 75% coverage.

  • Updated Nov 30, 2025
  • Elixir

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