30초 요약
In an NVIDIA partner promotion, Matthew Berman recommends running agents locally and describes AnythingLLM's collaboration with NVIDIA. He highlights local models and a community hub for sharing agent workflows, including drafting emails.
- 1Local agentsBerman recommends running agents locally when giving them access to personal information.
- 2Local models on RTX PCsHe describes an NVIDIA and AnythingLLM collaboration focused on locally powered models and RTX AI PCs.
- 3Community workflowsThe AnythingLLM community hub lets users share and discover agent behaviors, including draft email workflows.
핵심 정리
- Berman recommends local agents as a way to keep personal information on a local system.
- He says AnythingLLM and NVIDIA are sharing how to run agents with local models on RTX AI PCs.
- AnythingLLM's community hub lets people share and find agent workflows, including email drafting.
챕터별로 다듬은 전문 읽기
Local agents and community workflows
Berman recommends local agents and discusses an AnythingLLM collaboration with NVIDIA. He describes a hub for sharing workflows such as creating email drafts.
I strongly recommend running your agents locally. It lets you give them access to personal information while feeling more secure about it. NVIDIA is partnering with AnythingLLM to show how to build agents locally and run them with local models.
AnythingLLM is built on llama.cpp to work faster and better on NVIDIA RTX AI PCs. I think AnythingLLM is making a major push into agents.
The community hub lets people build and share agent behaviors and discover workflows created by others, including agents that generate and open drafts for Gmail or Outlook.
Those workflows can run at speed on NVIDIA RTX PCs. Check out AnythingLLM and NVIDIA’s information about how GeForce RTX GPUs power AI; thanks to NVIDIA for supporting the segment.
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