TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
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Jul 25, 2025 - Python
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ai-optimization
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Artificial Intelligence: Evaluating AI, optimizing AI
cran r r-package artificial-intelligence-algorithms computer-aided-diagnosis roc-analysis froc-analysis target-localization target-classification ai-optimization
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Apr 20, 2025 - R
🧘 Reddit-powered AI optimization tips | Save your time and credits | can cover 380+ services | Real tips from real users
python best-practices aggregator web-scraping openai developer-tools gpt community-driven claude cost-optimization reddit-scraper ai-optimization ai-tools ai-tips midjourney prompt-engineering stable-diffusion generative-ai llm-tools mcp-server
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Aug 17, 2025 - Python
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.
electron react typescript ai cross-platform version-control monorepo gemini openai ab-testing multi-language claude tailwindcss vite ai-optimization turborepo prompt-engineering llm-tools lm-studio deepseek
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Oct 14, 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.
machine-learning quantization model-compression linear-quantization quantization-error ai-optimization advanced-quantization symmetric-quantization asymmetric-quantization per-tensor-granularity per-channel-granularity per-group-granularity pytorch-quantizer weight-packing 8-bit-compression 2-bit-weights
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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.
machine-learning sustainability climate-change energy-efficiency green-computing carbon-footprint eco-friendly ai-for-good clean-tech green-ai ethical-ai digital-sustainability green-coding carbon-reduction ai-optimization climate-tech carbon-aware-computing sustainable-technology envionmental-impact
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Apr 3, 2025 - Python
🌊 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.
python mcp signal-processing project scientific-computing ligo openai astrophysics gravitational-waves gw150914 matched-filter ai-optimization model-context-protocol
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Aug 24, 2025 - Python
Script workflow management via MCP. Converts AI workflows to persistent scripts, reducing tokens & delays while minimizing hallucination risks.
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Aug 6, 2025 - TypeScript
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.
reinforcement-learning machine-learning-algorithms language-model reward-design rft ai-training deeplearning-ai-courses ai-optimization multi-step-reasoning ai-evaluation rlhf llm-fine-tuning opensource-ai llm-as-judge predibase grpo llm-development token-level-control
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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.
chrome google optimization registry-optimizer batch-file chrome-extensions cpu-usage file-compression registry-tweaks speed-boost ai-optimization performance-tweaks privacy-enhancement debloat-chrome chrome-optimization
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Mar 21, 2025 - Batchfile
A production-ready Vite + React + TypeScript starter template with clean architecture, design system tokens, and enterprise-grade folder structure.
i18n testing typescript reactjs scss clean-architecture atomic-design gitflow zero-configuration design-system vite i18n-react ai-optimization
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Oct 8, 2025 - TypeScript
An AI Optimizer module for improving performance.
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Apr 20, 2025 - Python
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.
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Feb 20, 2025 - JavaScript
# Polymer Fusion Framework
computational-physics tokamak plasma-physics clean-energy economic-analysis superconductors polymer-physics ai-optimization fusion-energy loop-quantum-gravity hts-materials west-tokamak grid-parity breakthrough-technology
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Aug 28, 2025 - Python
Foo-Voodoo on All Things AI @dev2deploy
ai-framework ai-research artifical-intelligence ai-pipeline ai-lab ai-platform ai-engineering ai-models ai-optimization ai-tools ai-development ai-native ai-prompts ai-integration ai-developer-tools ai-orchestration ai-hacking ai-iaas
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Apr 22, 2025
ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
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Feb 8, 2021 - Python
Rediscover your devices through the cloud.
cloud-computing personal-cloud cloud-services aurea digital-sustainability ai-optimization green-technology device-enhancement lightweight-client
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Apr 26, 2025 - HTML
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.
machine-learning deep-learning openai task-automation ai-optimization future-ai vision-ai llm prompt-engineering ai-reasoning meta-prompting ai-innovation o1model stem-ai coding-with-ai
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Feb 5, 2025 - Jupyter Notebook
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.
machine-learning text-summarization semantic-similarity model-performance transformers-library openai-api ai-optimization ai-testing llm-evaluation ai-workflow agentic-ai ai-agent-evaluation ai-metrics readability-n
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Feb 23, 2025 - Python
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