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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