Build AI Chatbots, Deploy Local AI Models, and Create AI-Powered Apps Without Cloud APIs using DeepScaleR-1.5B AI Model
Sub Category
- Data Science
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Objectives
- Set up DeepScaler & Ollama for local AI model execution.
- Run AI models locally without relying on cloud APIs.
- Build an AI-powered chatbot using DeepScaler & FastAPI.
- Develop an AI Math Solver that handles complex equations.
- Deploy DeepScaler models via REST APIs for real-world use.
- Integrate DeepScaler with Gradio for web-based AI tools.
- Benchmark DeepScaler vs OpenAI models in performance tests.
Pre Requisites
- Basic Python knowledge (helpful but not mandatory).
- Familiarity with command-line tools (Linux/Mac/Windows Terminal).
- A computer with at least 8GB RAM (higher for better performance).
- Ollama installed (we’ll guide you through setup).
- Internet connection for downloading models (offline use supported after setup).
- Interest in AI, LLMs, and model deployment.
- No prior deep learning or ML experience needed!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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