TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

Artificial Intelligence: Evaluating AI, optimizing AI

已停更的用于优化AI的无名杀扩展

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.

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.

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.

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.

Prompt Engineering Core (PEC)

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.

ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code

Foo-Voodoo on All Things AI @dev2deploy

Breakthrough polymer-enhanced fusion framework achieving 8.32× WEST tokamak performance with LQG physics integration. Grid parity achieved at .03-0.05/kWh. Complete simulation suite for HTS materials, AI coil optimization, liquid metal divertors, and economic analysis.

An AI Optimizer module for improving performance.

A distributed ICS simulation for conveyor systems featuring Raft Consensus, Kafka messaging, and Kubernetes-based resource management. 🚀⚙️

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.

Rediscover your devices through the cloud.

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.

The course teaches how to fine-tune LLMs using Group Relative Policy Optimization (GRPO)—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.

Foo-Voodoo on All Things AI @dev2deploy