Build your own GPT-4o powered Amazon AGENT!!!
AI Summary
Summary: Building an AI-Powered Application in Three Steps
- Introduction
- Fastest method to create an AI agent-based application.
- Tutorial covers simple to advanced concepts.
- Sponsored by On Demand, which powers the AI agents.
- Demo Overview
- Built a Streamlit application to find products on Amazon.
- Example: Request for two Redmi Android phones under 6,000 rupees.
- The AI agent understands the context (e.g., country) and provides relevant links.
- Step-by-Step Process
- Step 1: Select an Agent
- Use On Demand’s agent marketplace.
- Example: Add the Amazon shopping plugin to your profile.
- Step 2: Experiment in the Playground
- Test agents with model endpoints (e.g., GPT-4.0, Llama 405 Gemini 1.5).
- Add desired agents to your profile.
- No need for function calls; the platform handles it.
- Step 3: Integrate with Your Application
- Click ‘Get Code’ for the desired programming language (e.g., Python, JavaScript).
- The generated code can be integrated into various applications.
- Important components: API key and external user ID.
- API key creation and management through On Demand’s interface.
- Add the API key and user ID to the code in your development environment.
- Streamlit Application Example
- Streamlit allows building full-stack applications easily.
- The process involves adding plugins and setting up the chat session.
- Example: Request for three phones from Amazon India with links.
- The system can optimize prompts for better results.
- Conclusion
- Built an Amazon shopping assistant using On Demand’s agent marketplace.
- Streamlit code and agent code will be provided in the YouTube description.
- Encouragement to sign up for On Demand and thanks for sponsorship.
Additional Notes
- The tutorial is aimed at software engineers.
- On Demand’s platform simplifies the process of building AI-powered applications.
- The tutorial emphasizes the ease of use and integration with existing applications.