GitHub - BrunoScaglione/langtest: Deliver safe & effective language models

Cross-Encoder for Hallucination Detection

This model was trained using SentenceTransformers Cross-Encoder class.

The model outputs a probabilitity from 0 to 1, 0 being a hallucination and 1 being factually consistent.

The predictions can be thresholded at 0.5 to predict whether a document is consistent with its source.

Training Data

This model is base... See more

DeepEval — It’s a tool for easy and efficient LLM testing. Deepeval aims to make writing tests for LLM applications (such as RAG) as easy as writing Python unit tests.

GPT4All: An ecosystem of open-source on-edge large language models.

Important

GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.

GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs a... See more

Giskard is a Python library that automatically detects vulnerabilities of AI models, from tabular models to LLM, including: performance biases, data leakage, spurious correlation, hallucination, toxicity, security issues and many more.

It's a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce mor... See more

e your own prompts and genera