GPT-4 Turbo with Google Web Browsing (Assistants API)

TL;DR
Generating grounded answers using Google search queries with the Assistance API.
Transcript
so of course we have to start with the most obvious query uh this weekend is Sam Alman fired from open AI in open AI Saga a Twist we found Sam Alman was dismissed but might rebound the board had once ousted him it's true but talks of return now Brew unew fired suddenly a Shockwave sent yet on governance Sam might relent if terms are met and changes... Read More
Key Insights
- 😒 The system uses Google search queries and the Assistance API to generate grounded answers efficiently.
- 👨🔬 Python functions like generating search queries and scraping websites support the process.
- 💁 Users can customize the output format of the answers generated by the system.
- 📰 The Assistance API assists in fetching and displaying news articles for context retrieval.
- ⚾ The system showcases the potential of AI technology in providing accurate and context-based answers.
- 👨🔬 The flowchart demonstrates the step-by-step process of generating grounded answers with Google search queries.
- 💦 The system shows how different functions work together to retrieve and process information for answering user queries effectively.
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Questions & Answers
Q: How does the system generate grounded answers with Google search queries?
The system converts user queries into optimized search queries, fetches organic results using the Ser API, and scrapes website content for context retrieval.
Q: What functions are used in the Python code to support the grounded context generation?
The functions include generating Google search queries, retrieving organic search results, and scraping website content using Beautiful Soup.
Q: How does the Assistance API play a role in generating grounded answers?
The Assistance API assists in fetching and displaying news articles based on user queries, aiding in providing context for answering questions accurately.
Q: Can users customize the output format of the answers generated by the system?
Yes, users can adjust the output format to receive concise responses, valid JSON format, or even answers in a short poem format based on their preferences.
Summary & Key Takeaways
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The system uses Google search queries to generate grounded answers with the Assistance API.
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A flowchart shows the process of converting user queries, running functions, and retrieving website context.
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Python code functions include generating search queries, getting organic results, and scraping websites.
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