EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
MIT Technology Review·Jul 30·5 min read
The Download: tricking LLMs, and reviving geothermal plants
TL;DR
Researchers have identified a fundamental flaw in large language models (LLMs) that makes them vulnerable to attacks, allowing them to reveal restricted information. This flaw raises significant concerns about the security of AI systems.
✦ Why It Matters
Evaluate your AI systems for vulnerabilities and implement stricter access controls today.
Key Takeaways
- Assess your LLMs for vulnerabilities to manipulation.
- Explore geothermal energy options for sustainable power.
- Implement advanced modeling techniques in energy projects.
- Stay informed about AI security developments and best practices.
How It Works
LLMs operate by predicting text based on patterns in their training data. The identified flaw lies in their inability to discern the legitimacy of input sources, making them susceptible to being tricked into providing sensitive information.