Mira @Mira_Network can solve the most basic architecture of AI hallucinations at the AI model layer, using multiple AI models with different training directions to cross-verify output and eliminate hallucinations, which improves verification accuracy and eliminates single points of failure, while balancing the biases of each model through collective intelligence Currently, the AI models used in Mira's verification process include: ①OpenAI @OpenAI ②DeepSeek @deepseek_ai ③MetaAI @AIatMeta ④Alibaba_Qwen @Alibaba_Qwen ⑤Anthropic @AnthropicAI ⑥SentientAGI @SentientAGI ⑦Nous Research @NousResearch This includes both the most popular web2 AI companies like OpenAI and DeepSeek, traditional web2 internet giants like Meta and Alibaba, and also web3 projects like SentientAGI By integrating LLM training with various training methods, directions, and architectural approaches, Mira @Mira_Network created a verification consensus that transcends the limitations of any single model Currently, methods to directly interact with Mira @Mira_Network @MiraNetworkCN include Yap and Mira's developed conversational product Klok klokapp.ai/?referral_code=L7JC...… Each conversation with Klok earns 20 points, up to 10 times per day, which can be used as a voucher for future Mira token airdrop!

How to verify the results of LLM model?

I'm here to get some mira @Mira_Network