Meta’s Llama 4 AI Models Bring Balanced Answers and Multimodal Power to Developers

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Wading Deeper into the Contentious with Precision

Meta has officially rolled out its Llama 4 family of large language models, and the latest versions — Llama 4 Scout and Llama 4 Maverick — come packed with powerful features and a sharper edge in tackling the complex, nuanced conversations that matter.

Unlike its predecessor, Llama 3.3, which refused to answer about 7% of controversial or politically charged prompts, Llama 4 reduces that refusal rate to under 2%, according to Meta’s internal tests. Even more importantly, Meta reports that bias in refusals has dropped to just 1%, indicating more balanced responses across contentious subjects.

Meta just dropped its latest AI models — Llama 4 Scout and Maverick — and they’re not shying away from tough questions. Unlike Llama 3.3, these new models dodge fewer prompts, answer controversial topics more fairly, and are powered by a next-gen architecture that thinks faster and smarter.

What’s new?

  • Refuses less than 2% of sensitive prompts (vs. 7% in the last version)
  • Built on Mixture of Experts (MoE) tech for smarter task routing
  • Open-weight = fine-tune freely, no full model access needed
  • Fully multimodal: understands text, images, video & audio

At Eptain, we see this as a game-changer for building trustworthy, intelligent, AI-first platforms across industries.

Let’s talk: How are you preparing your business for this next leap in AI?

#AI #Meta #Llama4 #OpenWeightAI #Eptain #MultimodalAI #FutureOfWork #IntellectualFreedom #Chatbots #LLMs #Innovation

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