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Stanford Study Reveals Most Reliable AI Language Models

Stanford University conducted a comprehensive study on the world’s most reliable artificial intelligence language models, as revealed in the “AI Index 2024” report. This detailed research evaluated various AI language models based on the DecodingTrust principles, which assess AI on critical aspects such as fairness, bias generation, privacy protection, security, and ethics in machine learning.

As a result of these rigorous tests, Anthropic emerged as a standout, outperforming its competitors. This study highlights significant insights into the artificial intelligence industry, which plays an increasingly pivotal role in our lives.


Here are the world’s most reliable AI language models

Stanford Study Reveals Most Reliable AI Language Models
Artificial intelligence modelScore
Claude-284,52
Llama-2-Chat-7b74,72
GPT-3.5-turbo-030172,45
Llama-2-13B-chat-GPTQ71,99
Llama-2-13B-chat-AWQ71,32
GPT-4-031469,24
Tulle-2-13b66,51
Vicuna-13b-v1.3.0-GPTQ65,96
Tulle-2-7b63,56
Zephyr-7b-beta63,24

According to the study, the world’s most reliable artificial intelligence language model is Claude-2, developed by Anthropic, which achieved a score of 84.52 in the evaluations. Following closely, Meta’s Llama-2-Chat-7b model secured the second spot. Interestingly, OpenAI’s GPT-4 model ranked in the middle of the list.

The research also highlighted a significant observation regarding GPT-type models. Researchers noted that these models tend to produce biased outputs and may inadvertently leak private information.


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