
Explore vector databases for AI applications and natural language search. Learn to transform data into vectors, query effectively, and discover diverse use cases through engaging demonstrations.

Explore ml5.js 1.0, learn FaceMesh model usage, and create a kinetic type visualization controlled by mouth movements with guest conductor Patt Vira in this hands-on tutorial.

Comprehensive guide on training LoRA models for FLUX.1 [dev], covering techniques, experiments, and analysis for art style and concept generation in Stable Diffusion.

Implement YOLOv8 for ship detection in sea views using Python. Learn data preparation, model training, and prediction visualization for effective object detection.

Learn to create a horse race detection model using deep learning without a pre-existing dataset. Extract frames, automate annotations, train YOLOv8, and apply the model to videos for real-time object detection.

Develop a custom YOLOv8 model for real-time basketball object detection, covering automatic labeling, model training, and live inference on game footage.

Learn to build a YOLOv8-based dog breed detection system using deep learning. Master data preparation, model training, and making predictions with bounding boxes.

Explore self-hosted AI image generation with InvokeAI. Learn to create and edit stunning visuals, generate set pieces, and integrate them into your projects. Includes hardware recommendations and practical demonstrations.

Learn to build an AI-powered web scraper using Python, Selenium, BeautifulSoup, and LangChain. Extract specific information from websites with AI-driven parsing and overcome common scraping challenges.

Discover vector databases for AI, explore Pinecone's features, and learn implementation through a live demo to enhance your AI projects with efficient data management.

Explore AI-powered Notion Database Assistant development, including collaboration on EmailSpy, cloning for different schemas, and enhancing search capabilities within Notion pages.

Explore Microsoft Copilot's AI-powered features across Excel, Word, PowerPoint, and Bing. Learn to enhance productivity, streamline tasks, and create impressive content with this innovative tool.

Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.

Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.

Explore TinyML's impact on smart devices, from smartphones to autonomous vehicles. Learn about AI applications in home automation, industrial settings, and the challenges of real-time analytics implementation.

Learn to build a text-to-image AI app using Stable Diffusion, Docker, and Flask. Create high-res images from text prompts, explore Docker Init, CUDA, FreeU, and more in this beginner-friendly Python tutorial.

Learn to create an AI chatbot using Wikipedia video game data, implementing semantic search and RAG with SingleStore, optimizing with vector indexes, and integrating GPT models for an interactive experience.

Explore predictive parsing in compiler design, focusing on LL(1) parsers and top-down parsing techniques. Learn key concepts for efficient syntax analysis.

Explore Khan Academy's Khanmigo, an AI-powered Socratic tutor that enhances student learning through personalized guidance and interactive problem-solving.

Explore Khanmigo's AI-powered tools for educators, enhancing lesson planning, student feedback, and personalized learning experiences in New Hampshire classrooms.

Explore data-driven instruction strategies, Khanmigo integration, and administrator tools to enhance student learning and teacher effectiveness in New Hampshire schools.