📄️ Hallucination
AIMon's latest hallucination detection model, HDM-1 beats competitors on various accuracy benchmarks while providing consistent hallucination scores in just a few hundred milliseconds.
📄️ Instruction Adherence
The Instruction Adherence (IA) checker, integrated within the Aimon SDK, evaluates whether a given LLM response (generatedtext) correctly follows a list of specified instructions. It can also optionally extract and score instructions embedded within a prompt given to the LLM (userquery). This evaluation model provides a detailed breakdown of adherence for each instruction, explanations, and an overall adherence score.
📄️ Context Quality
Hallucinations and even other quality issues can be often traced back to
📄️ Context Relevance
Context relevance is a critical aspect of Language Model (LM) evaluation, especially in the context of Large Language Models (LLMs) like GPT-4o.
📄️ Completeness
Given a context, generated text and optionally a user query or a reference text, this API is able to detect
📄️ Conciseness
Given a context, generated text and optionally a user query or a reference text, this API is able to detect if the
📄️ Toxicity
Given a context, generated text and optionally a user query or reference text, this API is able to generate various