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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.
Explore DeepSeek Coder's capabilities in coding tasks, from simple functions to complex problems and app development. Compare its performance to other AI models in various programming scenarios.
Explore AutoGen for creating AI agents with LLMs. Learn to build a stock price analyzer and a multi-agent system for cryptocurrency analysis using Python and GPT models.
Discover how to build CogVault, a completely local AI agent that chats with your PDFs and documents using Qwen3, MCP tools, RAG, and Streamlit without cloud dependency.
Learn to evaluate LayoutLMv3 for document classification, save and load models to HuggingFace Hub, and analyze performance using confusion matrices in this hands-on tutorial.
Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.
Build a cryptocurrency analysis system with AI agents using LangGraph. Create agents to analyze markets, fetch data, search news, and generate comprehensive reports on Bitcoin, Ethereum, and Solana.
Learn to create complex AI agent workflows using LangGraph, controlling execution flow and state. Build a habit tracker app with custom tools and explore advanced LLM application development techniques.
Hands-on tutorial for building a RAG system from scratch using Llama 3.1, Groq API, Sqlite-vec, and FastEmbed. Learn to create a chatbot with custom data without external libraries.
Learn to empower Llama 3 with function calling capabilities, enabling it to operate a habit-tracking app. Explore tool choice, argument mapping, and practical implementation using Groq's Llama 3 model.
Build a local RAG system for PDFs using LLMs, LangChain & Streamlit. Extract text, create vector stores, implement advanced retrieval, and integrate local/remote LLMs for efficient document processing.
Learn to build a web scraper using Llama 3.1 AI to extract structured data from web pages. Create Pydantic models from markdown content, ideal for developers seeking efficient data extraction techniques.
Learn to generate photorealistic images using Flux-1 (Dev) model and LoRA adapters. Explore setup, inference steps, guidance, and output variety in this hands-on tutorial using Google Colab.
Learn to fine-tune Llama 3 on custom datasets for improved LLM performance in specific tasks, using a single GPU. Covers dataset preparation, model setup, training, and evaluation.
Explore Zephyr 7B Beta's performance against larger models through paper review and hands-on Google Colab tutorial. Learn setup, prompting, and practical applications in math, coding, and data tasks.
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