TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
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Updated
Mar 13, 2025 - Python
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
Artificial Intelligence: Evaluating AI, optimizing AI
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.
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.
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.
A distributed ICS simulation for conveyor systems featuring Raft Consensus, Kafka messaging, and Kubernetes-based resource management. 🚀⚙️
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