factool
FacTool: Factuality Detection in Generative AI (by GAIR-NLP)
AI
Explore the forefront of AI innovation with this dedicated repository, housing cutting-edge examples and implementations. Dive into the latest advancements, stay ahead with groundbreaking applications, and harness the power of state-of-the-art models and techniques. Elevate your understanding of artificial intelligence through hands-on work (by vishalmysore)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
factool
Posts with mentions or reviews of factool.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-03.
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How to Detect AI Hallucinations
FACTOOL is a task and domain-agnostic framework designed to tackle the escalating challenge of factual error detection in generative AI. It is a five-step tool-augmented framework that consists of claim extraction, query generation, tool querying, evidence collection, and verification. FACTOOL uses tools like Google Search, Google Scholar, code interpreters, Python, and even LLMs themselves to detect factual errors in knowledge-based QA, code generation, math problem solving, and scientific literature review writing. It outperforms all other baselines across all scenarios and is shown to be highly robust in performing its specified tasks compared to LLMs themselves.
AI
Posts with mentions or reviews of AI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-03.
-
How to Detect AI Hallucinations
Code for this article is available here and here , but as always I would suggest you to please read the full article for better understanding.