WikiChat

Utilizes Wikipedia data to mitigate the illusion effect of language models

CommonProductchattingchatbotlanguage model

WikiChat ensures factual responses by utilizing Wikipedia and a 7-stage process. It mitigates false alerts from large language models by retrieving data from Wikipedia to correct incorrect replies from the language model. It offers both command-line interaction and a web interface.

command-line interactive chatting
web interface interactive chatting
building one's own Wikipedia search index
evaluating the factuality and consistency of any dialogue
simulating user conversations

requirement for a factual chatbot service
research on the false alert issues of language models
building one's own knowledge question and answer system

try different process configurations via the command line
interact with the chatbot via the web interface
build a search index using your own data

Visit

WikiChat Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

WikiChat Visit Trend

WikiChat Visit Geography

WikiChat Traffic Sources

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Best AI Websites & Tools

WikiChat

WikiChat Visit Over Time

WikiChat Visit Trend

WikiChat Visit Geography

WikiChat Traffic Sources

WikiChat Alternatives

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OuteTTS-0.1-350M — A text-to-speech synthesis model that operates through a pure language model.

Crisp 4 — A brand new site search experience to boost customer service efficiency.

MobileLLM-1B — A sub-billion parameter language model developed by Meta, suitable for device-side applications.

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

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Spirit LM — Multimodal language model that integrates text and speech

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rag-chatbot — A chatbot that can interact with multiple PDF files locally.

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