GitHub Trending repo Repositories Jul 21

ToseaAI/llm-fingerprint-detector: Verify which LLM an OpenAI-compatible API really serves — single-token behavioral fingerprinting (Jensen-Shannon) from the paper "One Token Is Enough" (arXiv:2607.10252). Zero-dependency TypeScript library + CLI. Catches model substitution by resellers & gateways.

by ToseaAI

Verify which LLM an OpenAI-compatible API really serves — single-token behavioral fingerprinting (Jensen-Shannon) from the paper "One Token Is Enough" (arXiv:2607.10252). Zero-dependency TypeScript library + CLI. Catches model substitution by resellers & gateways.

Read Original

API LLM OpenAI

Metadata

Stars: 4
Forks: 1
Language: TypeScript
Watchers: 4
License: MIT

GitHub Trending repo 1h ago

learningmentor/generative-ai-for-beginners: No description

GitHub Trending repo 1h ago

YutongChenVictor/NPU-E2E: End-to-End NPU: RTL systolic array → AXI4 SoC → TVM compiler → FPGA inference

End-to-End NPU: RTL systolic array → AXI4 SoC → TVM compiler → FPGA inference

GitHub Trending repo 7h ago

harinishri2204-cpu/Pollu-Sence: PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.

PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and ...

Metadata

Related

learningmentor/generative-ai-for-beginners: No description

YutongChenVictor/NPU-E2E: End-to-End NPU: RTL systolic array → AXI4 SoC → TVM compiler → FPGA inference

harinishri2204-cpu/Pollu-Sence: PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.