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Deployment
Interpretability
Interpretability research aims to open the 'black box' of neural networks to understand how they make decisions. This is crucial for trust, safety, and scientific understanding.
Why it exists
- •LLMs don't know your private data
- •LLMs hallucinate confidently
- •Interpret. bridges AI + real knowledge
Used in
AI SearchEnterprise ChatKnowledge AssistantsMedical AI
What is Interpret.?
Interpretability is like opening up a robot's brain to see how it thinks - making the 'black box' transparent!
👶 For Beginners
Interpretability is like opening up a robot's brain to see how it thinks - making the 'black box' transparent!
👨💻 For Developers
Interpretability research aims to open the 'black box' of neural networks to understand how they make decisions. This is crucial for trust, safety, and scientific understanding.
🚀 For Founders
Interpretability builds trust and enables debugging. Understanding why AI makes decisions is crucial for regulated industries and user trust.
How it works
User→LLM→Retrieve→Vector DB→Context→Answer
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