Halgorightem

Detecting AI Hallucinations Before Them Happening

Whats Halgortihem

Halgorithem is a Custom Designed Algorithem For Detecting AI Hallucinations without Little to Any AI Present in the Algo Itself. Halgorithem was designed with speed in mind to quickly detect AI Hallucinating

How does Halgorithem Work

Halgorithem works by Parsing your files and input into a Tree which is compared with file chunks which were made into trees. If something doesn't make sense, Halgorithem Flags it.

Key Features

• 🔗 Fits Into Any AI workflow where responses are gened
  Halgorithem can be integrated into AI Pipelines designed in python like LangGraph, CrewAI, PydanticAI and Microsoft AutoGen

• First Robust Solution to AI Hallucination
  Halgorithem is the first robust and true solution to hallucination detection over the alternitives.

Benchmark Results

*JWST $10B cost not present in scraped source text — UNVERIFIABLE, not hallucination

Screenshots

Installation

To run Halgorithem, follow these steps:

1. Create a virtual environment:

   python -m venv venv
   

2. Activate the virtual environment:

   source venv/bin/activate
   

3. Install the required modules:

   pip install -r requirements.txt
   

4. Download the spaCy English model (if it is not installed automatically):

   python -m spacy download en_core_web_sm
   

5. Run the benchmark:

   python bench.py