TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
-
Updated
Jul 25, 2025 - Python
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
Artificial Intelligence: Evaluating AI, optimizing AI
🧘 Reddit-powered AI optimization tips | Save your time and credits | can cover 380+ services | Real tips from real users
Adaptive Optimization Framework for AI Agents using Reinforcement Learning. Automatically optimize agent behaviors, reduce costs by 30%, and improve performance through Q-learning and data-driven prompt engineering.
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.
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.
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.
🌊 GW150914 MCP Signal Search: AI-powered gravitational wave detection using Model Context Protocol (MCP). Features optimization client, analysis server, and automated parameter exploration for LIGO data.
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.
Foo-Voodoo on All Things AI @dev2deploy
This script automates the process of optimizing an Upwork profile by scraping high-value freelancer profiles, analyzing their data, and generating recommendations for an improved profile. It also scrapes recently posted jobs to refine optimization further.
# Polymer Fusion Framework
ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
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.
Script workflow management via MCP. Converts AI workflows to persistent scripts, reducing tokens & delays while minimizing hallucination risks.
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.
An AI Optimizer module for improving performance.
Rediscover your devices through the cloud.
Optimizing a hybrid renewable energy system
Add a description, image, and links to the ai-optimization topic page so that developers can more easily learn about it.
To associate your repository with the ai-optimization topic, visit your repo's landing page and select "manage topics."