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Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.
Explore AI's business value through a non-technical lens. Learn key concepts, practical applications, and five essential rules for leveraging AI effectively in your organization.
Dive into the Model Context Protocol (MCP), learn how it works, and build your own custom MCP server with Python that connects to Claude Desktop in this practical AI agent tutorial.
Discover how to build an Upwork AI job dashboard from scratch using Python, Cursor, and Streamlit in this step-by-step coding demonstration that covers data transformation with LLMs and feature implementation.
Discover how to improve LLM systems through automated feedback loops, with practical examples including an Upwork profile rewriter using OpenAI's Responses API and three types of evaluation methods.
Discover the fundamentals of AI agents in this introductory video exploring three levels of agency: LLM with tool use, LLM workflows, and LLM in a loop, providing a foundation for understanding this emerging technology.
Master the essential machine learning foundations needed for AI engineering in this comprehensive 35-minute guide covering ML techniques, deep learning, neural networks, and reinforcement learning.
Discover how applied physics meets AI through three innovative research projects in this authentic PhD defense presentation covering light-pupil interactions and advanced algorithms.
Discover the core AI concepts entrepreneurs need to build applications, from prompt engineering and RAG to fine-tuning and distillation, all explained in a concise, practical format.
Discover essential AI terminology for entrepreneurs with clear explanations of 30 key concepts from LLMs and prompting to vector databases and reinforcement learning, without technical jargon.
Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.
Discover how to build a custom AI agent that integrates with Notion using MCP server and OpenAI's SDK to automate LinkedIn content management in just 18 minutes.
Discover how to leverage text embeddings and machine learning to analyze customer data, featuring a practical ideal customer avatar analysis with real-world implementation examples.
Discover how to leverage LLMs, embedding models, and traditional ML to identify your ideal customer profile through practical data analysis and feature engineering techniques.
Master fine-tuning Gemma 3 for tool use with Python code examples, from data generation to model evaluation in this hands-on tutorial.
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