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A plug-and-play SDK for de-hallucinating outputs from LLMs

Project description

Overview

HAPI is a plug-and-play SDK to dehallucinate your LLM generation in real time

  • Hallucination Detection: Identifies and flags AI-generated misinformation.
  • Confidence Filtering: Evaluates reliability of generated content.
  • Easy Integration: Will support any open-source model soon

Supported models - more coming soon!

  • Llama-2-7b-chat (meta-llama/Llama-2-7b-chat)
  • Falcon40b (tiiuae/falcon-40b)
  • Llama-2-7b (meta-llama/Llama-2-7b-hf)
  • MPT7B (mosaicml/mpt-7b)

Installation

pip install HAPI_SDK

Quick Start

from hapi_sdk import DeHallucinationClient

client = DeHallucinationClient(model_id="meta-llama/Llama-2-7b-chat-hf", license_key="your-license-key")

prompt = "Explain quantum entanglement in simple terms."

output, flagged_sentences = client.dehallucinate1(prompt)

print("Filtered Output:", output)

print("Flagged Sentences:", flagged_sentences)

Contact with any suggestions!

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