EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 19·5 min read
Extensible Software in the Age of LLMs
TL;DR
The rise of LLM-assisted coding enables the creation of highly personalized software, addressing unique user needs that traditional static applications overlook. This trend, termed Small Software, empowers individuals to build tailored solutions without the complexity of enterprise systems.
✦ Why It Matters
Start exploring LLMs to create custom software solutions that meet your specific needs today.
Key Takeaways
- Investigate LLMs for personalized software solutions.
- Consider user-driven extensions to enhance application functionality.
- Ensure security measures for executing user-generated code.
- Explore existing models like Pi for inspiration.
How It Works
LLMs can generate code snippets based on user requests, allowing for seamless integration of custom features into existing applications. This process involves creating stable hooks for tools and commands, enabling users to extend functionality without altering the core software.