Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Data Science
Simon Willison's Blog·Aug 19·5 min read
Quoting Jeremy Morrell
TL;DR
Jeremy Morrell proposes that the advent of large language models (LLMs) creates new opportunities for extensible web software, enabling users to safely enhance applications. By leveraging LLMs, developers can build robust core applications that users can extend creatively and securely.
✦ Why It Matters
Start exploring LLMs to enable user-driven extensions in your web applications today.
Key Takeaways
- Investigate LLMs for creating software extensions.
- Implement modern sandboxing for secure user modifications.
- Design core applications that allow user creativity.
- Focus on accountability in user-driven software enhancements.
How It Works
LLMs can generate code snippets or functionalities based on user input, allowing for dynamic extension of applications. By using sandboxing techniques, these extensions can be executed in a controlled environment, ensuring that they do not compromise the core application’s integrity.