Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
Cloud & Infrastructure
The New Stack·Jun 21·5 min read
“An agent is an LLM and a harness”: What Nvidia really thinks about OpenClaw
TL;DR
Nvidia recognized a gap in the development of agentic AI, which combines large language models (LLMs) with operational frameworks. They supported OpenClaw, a tool that enhances the capabilities of LLMs by integrating them into a structured environment.
✦ Why It Matters
Engineers can utilize OpenClaw to enhance LLM capabilities for practical AI applications.
Key Takeaways
- Understand the definition of AI agents as LLMs and harnesses.
- Consider contributing to OpenClaw to engage with the community.
- Utilize Nvidia's blueprints for safer enterprise AI adoption.
- Stay informed about the evolving landscape of AI technologies.
How It Works
Khalil explains that AI agents operate through iterative loops, where each loop leverages the results from the LLM to refine actions and move closer to a defined goal. This process is enhanced by the integration of skills and tools, allowing agents to adapt and respond effectively.