
Explores computing rainbow cycle numbers using SAT modulo Symmetries, enhancing understanding of envy-freeness in fair division of indivisible goods and improving EFX allocation feasibility guarantees.

Explore logics capturing distributed computing and neural network models, including graph neural networks. Dive into game-theoretic semantics and computational logic connections.

Comprehensive tutorial on using DALL-E API for AI image generation, covering setup, creation, editing, and variations, with practical demonstrations and insights.

Learn to scrape websites using Python, Beautiful Soup 4, and ChatGPT API. Covers legal aspects, text extraction, summarization, and tagging techniques for efficient web data processing.

Learn to scrape YouTube transcripts and leverage OpenAI's API for summarization and topic extraction, enhancing content analysis and accessibility.

Autonomous robot using OpenCV and Arduino to track and follow faces, with real-time adjustments based on face position and size for movement control.

Learn to create a custom AI assistant using Python, Google Speech, OpenAI, and Arduino. Develop voice control capabilities to solve specific problems tailored to your interests.

Learn to create an AI-powered decision tree for natural language interaction with computers using Python, OpenAI API, and Google Speech. Enhance user communication flexibility and eliminate hard-coded triggers.

Learn to manually train an AI-powered voice assistant using OpenAI, Python, SQLite, and Google Voice. Covers system design, text and voice-based implementations, and code review.

Learn to create an AI prompt injection web app using Python, Bottle, OpenAI, and DALL-E. Explore system architecture, code implementation, and practical applications in this hands-on tutorial.

Build a web app using Python, Bottle, and OpenAI API to analyze online images with computer vision, including SQLite integration for data storage.

Build a web app for image classification using OpenAI Vision API, Python, and Bottle. Learn system architecture and code implementation for practical AI integration.

Build a Python app integrating OpenAI Vision API and speech recognition for automated item identification and voice-based interaction with computer vision systems.

Learn to set up and use Ollama with Python for local AI language models, including installation, model management, and integration techniques.

Build a web app to compare LLM results using Ollama, Python, Bottle, and SQLite. Learn project architecture, setup, and coding for CLI and web interfaces.

Learn to create an AI-powered autoblog using Ollama, Llama2, Python, and Bottle. Rewrite existing blog content with LLM technology and store it in a database.

Learn to create an AI-powered autoblog using Python, Ollama, Beautiful Soup, Feedparser, and SQLite. Explore architecture, code examples, and best practices for automated content generation.

Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.

Explore Meta's open-source LLAMA 3.1 LLMs, including the 405B model. Compare performance with closed-source models, evaluate capabilities, and learn how to use these AI advancements locally.

Exploring AI assistance beyond coding: leveraging prompts, interaction patterns, and knowledge orchestration for software delivery tasks like analysis and architecture.

Discover how GitHub CoPilot enhances coding, combats imposter syndrome, and fosters connections in tech. Learn to leverage AI for better problem-solving while addressing workplace anxiety and promoting diversity of thought.