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AI startup Mistral haslauncheda Modern API for cognitive content moderation .
The API , which is the same API that power easing in Mistral ’s Le Chat chatbot platform , can be cut to specific app and safety touchstone , Mistral say . It ’s power by a fine - tune framework ( Ministral 8B ) trained to classify schoolbook in a range of languages , including English , French , and German , into one of nine categories : intimate , hatred and discrimination , violence and threats , serious and condemnable content , ego - harm , wellness , fiscal , jurisprudence , and personally identifiable data .
The moderation API can be put on to either in the buff or conversational text , Mistral says .
“ Over the retiring few months , we ’ve seen raise exuberance across the diligence and research residential district for young AI - based easing arrangement , which can aid make moderation more scalable and racy across applications , ” Mistral wrote in a blog mail . “ Our content relief classifier leverages the most relevant policy categories for effective guardrails and introduce a pragmatic access to model refuge by address model - yield harms such as unqualified advice and PII . ”
AI - powered moderation scheme are utilitarian in theory . But they ’re also susceptible to the same biases and proficient flaws that plague other AI systems .
For example , some model coach to observe perniciousness see phrases in African American Vernacular English ( AAVE ) , the informal grammar used by some Black Americans , as disproportionately “ toxic . ” post on social media about people with disablement are also often flag as more negative or toxic by commonly used public thought and perniciousness sensing model , studies havefound .
Mistral take that its moderation model is highly exact — but also allow in it ’s a work in progress . Notably , the company did n’t compare its API ’s performance to other popular moderation genus Apis , like Jigsaw’sPerspective APIandOpenAI ’s moderation API .
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“ We ’re working with our customers to build and share scalable , lightweight , and customizable moderation tooling , ” the ship’s company suppose , “ and will continue to affiance with the research community to conduce safety advancements to the broad field . ”
Mistral alsoannounceda batch API today . The company order it can reduce the cost of models serve through its API by 25 % by processing gamey - volume requests asynchronously . Anthropic , OpenAI , Google , and others also offer batch options for their AI genus Apis .
