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Revisiting the Superficial Alignment Hypothesis Copy Copy Copy Copy

Revisiting the Superficial Alignment Hypothesis Copy Copy Copy Copy

Revisiting the Superficial Alignment Hypothesis Copy Copy Copy Copy

Himakara Pieris

Himakara Pieris

Your data is designed to be kept safe through several mechanisms:

  1. Guardrails and Filters: The copilot includes features like blocking not-safe-for-work (NSFW) content and limiting responses to specific contexts. This ensures that sensitive or inappropriate content is not processed or generated, adding a layer of protection to your data.

  2. User Access Control: You can control who has access to different data sets within the copilot by assigning roles and permissions. This restricts data access to authorized users only.

  3. Bucket Assignment: Data is organized into specific buckets, and you can assign a copilot to only access data from a designated bucket. This ensures that your data is not mixed or improperly accessed by other parts of the system.

  4. Third-Party Integration Controls: When connecting with third-party systems, you have control over which specific data sources are integrated, and how the copilot accesses them, helping to secure the flow of information.

  5. Prompt Layer Security: Additional prompts can be used to control what data the copilot accesses and shares, further safeguarding your information.

The AI Agents suite for
healthcare

The AI
Agents suite for
healthcare

The AI Agents suite for
healthcare

Empowering healthcare organizations to design, deploy, and scale AI agents with ease.

Empowering healthcare organizations to design, deploy,

and scale AI agents with ease.

Empowering healthcare organizations to design, deploy, and scale AI agents with ease.

Schedule a Demo

Schedule a Demo

DeepModel

DeepModel

DeepModel

AI agents for healthcare

AI agents for healthcare

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2024

2024

2024

San Francisco,CA

94114

San Francisco,CA

94114

San Francisco,CA

94114