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실제 애플리케이션

  • Hands-on course teaching creation of autonomous AI agents with Hugging Face Transformers, APIs, and custom tool integrations.
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    What is Hugging Face Agents Course?
    The Hugging Face Agents Course is a comprehensive learning path that guides users through designing, implementing, and deploying autonomous AI agents. It includes code examples for chaining language models, integrating external APIs, crafting custom prompts, and evaluating agent decisions. Participants build agents for tasks like question answering, data analysis, and workflow automation, gaining hands-on experience with Hugging Face Transformers, the Agent API, and Jupyter notebooks to accelerate real-world AI development.
  • AnyAgent is an open-source Mozilla AI framework for building customizable, memory-enabled and tool-integrated AI agents with planning capabilities.
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    What is AnyAgent?
    AnyAgent is a flexible agent framework that lets developers construct intelligent agents capable of reasoning, planning, and executing tasks across diverse domains. It offers a built-in planner for chaining actions, configurable memory stores for long-term context, and easy hookups to external tools and APIs. Through a simple declarative DSL, you can define custom skills, embed event logging, and swap between LLM backends seamlessly. Whether for customer support bots, data analysis assistants, or research prototypes, AnyAgent accelerates agent creation with robust architecture, modular components, and extensibility for real-world automation scenarios.
  • Hands-on bootcamp teaching developers to build AI Agents with LangChain and Python through practical labs.
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    What is LangChain with Python Bootcamp?
    This bootcamp covers the LangChain framework end-to-end, enabling you to build AI Agents in Python. You’ll explore prompt templates, chain composition, agent tooling, conversational memory, and document retrieval. Through interactive notebooks and detailed exercises, you’ll implement chatbots, automated workflows, question-answering systems, and custom agent chains. By course end, you’ll understand how to deploy and optimize LangChain-based agents for diverse tasks.
  • NuMind empowers users to create custom NLP models effortlessly.
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    What is NuMind?
    NuMind is a powerful tool that allows users to develop tailored NLP models by teaching an AI to perform specific information extraction tasks. It automates several processes including classification, name entity recognition (NER), and data structuring, enabling users to extract meaningful insights from unstructured texts. The platform supports multilingual models and provides collaborative tools, GPU optimization, and extensive API access, designed especially for easy deployment in real-world applications.
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