K User Documentation
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  • Home
  • User Guide
    • Getting Started
    • What data is available in K
    • How K visualizes data
    • K Agents
    • FAQ
      • How does K-Pro protect confidential data?
      • How does K Pro guard against IP leakage?
      • Can I access the codebase and decision making process of K Pro?
      • Can anyone see the data I upload to K?
      • How do we standardize/harmonize diverse datasets and turn them into a productized agentic system
      • How do we measure/prevent hallucinations ?
      • How dow we ensure a proper and deterministic retrieval of citations and references?
      • How would different LLMs or versions of the same LLM affect final outcomes?
      • Will there be a API/function layer to integrate with pharma Kernel and trigger background workflows?
      • Who owns the output from user prompts in Owkin K?
      • How is Owkin K different from other LLMs?
      • How to make sure that the scientific conclusions generated by K are evidence-based and accountable?
      • How does Owkin prevent bias in Owkin K recommendations?
      • Do you own your full end to end tech stack? If not, how do you vet your vendors?
  • Data Readiness Guide
    • Introduction
    • K data requirements
    • Owkin Professional Services
    • Appendix: Tables description
  • MCP Tools Documentation
    • Introduction
    • Release Notes
  • Terms & Policies
    • Overview
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  1. User Guide

FAQ

How does K-Pro protect confidential data?How does K Pro guard against IP leakage?Can I access the codebase and decision making process of K Pro?Can anyone see the data I upload to K?How do we standardize/harmonize diverse datasets and turn them into a productized agentic systemHow do we measure/prevent hallucinations ?How dow we ensure a proper and deterministic retrieval of citations and references?How would different LLMs or versions of the same LLM affect final outcomes?Will there be a API/function layer to integrate with pharma Kernel and trigger background workflows?Who owns the output from user prompts in Owkin K?How is Owkin K different from other LLMs?How to make sure that the scientific conclusions generated by K are evidence-based and accountable?How does Owkin prevent bias in Owkin K recommendations?Do you own your full end to end tech stack? If not, how do you vet your vendors?
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