In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers. We integrate dialog generation, question‑answering, sentiment analysis, web search stubs, weather look‑ups, and a safe calculator into a single Python class. As we progress, we install only the essential libraries, load lightweight models that respect Colab’s memory limits, and wrap each capability inside tidy, reusable methods. Together, we explore how every component, from intent detection to device-aware model loading, fits into a coherent workflow, empowering us to prototype sophisticated, multi-tool agents. !pip install transformers torch accelerate datasets requests beautifulsoup4 import…
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