README.md

metadata

title: PHANTASM LLM Hallucination Inverter
emoji: 🔮
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: true
license: apache-2.0
tags:
  - hallucination
  - llm
  - uncertainty
  - confabulation
  - calibration
  - nlp
  - ai-safety
  - phantasm
  - gradio
short_description: Invert LLM hallucination into productive features

🔮 PHANTASM Demo

Probabilistic Hallucination-Aware Neural Transformation with Adaptive Synthesis Method

The first ML framework to mathematically invert LLM failure modes into productive features.

What this demo does

Paste any text to get a full three-pillar PHANTASM analysis:

• Pillar I — HGT: Hallucination risk score + knowledge boundary tokens
• Pillar II — CMN: Novel hypotheses mined from confabulation patterns
• Pillar III — UC: Calibrated confidence + reliability tier (crystal/solid/fluid/vapor)

Links

• GitHub
• PyPI
• Dataset
• Docs