Check Hallucination of LLMs and RAGs using Open Source Evaluation Model by Vectara
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Discover how Vectara's groundbreaking Open-Source
Discover how Vectara's groundbreaking Open-Source Hallucination Evaluation Model is transforming the way Large Language Models (LLMs) like those from OpenAI, Anthropic, and others are assessed for accuracy and hallucinations. In this tutorial, I explore Vectara's innovative approach, which offers unprecedented transparency and quantification of risks associated with Generative AI (GenAI) Chatbots. Learn about the Cross-Encoder for Hallucination Detection, training data specifics, and impressive performance metrics.
Don't forget to like, comment, and subscribe for more insights into the future of responsible Gen AI and self-governance in the tech world!
GitHub Repo: https://github.com/AIAnytime/Evaluati...
Vectara Hallucination Evaluation Model: https://huggingface.co/vectara/halluc...
GitHub Repo of Leaderboard: https://github.com/vectara/hallucinat...
#generativeai #ai #python
Don't forget to like, comment, and subscribe for more insights into the future of responsible Gen AI and self-governance in the tech world!
GitHub Repo: https://github.com/AIAnytime/Evaluati...
Vectara Hallucination Evaluation Model: https://huggingface.co/vectara/halluc...
GitHub Repo of Leaderboard: https://github.com/vectara/hallucinat...
#generativeai #ai #python
9 ماه پیش
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