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This article focuses on Meta's rollout of an AI search feature that synthesizes answers from publicly available social media posts, marking a significant shift in how large language models ingest and utilize unstructured user data for direct Q&A capabilities. The core technical development involves the integration of proprietary training or fine-tuning methods (Muse Spark) to ground responses specifically within Meta's ecosystem rather than relying solely on pre-trained knowledge.
Facebook’s new AI Mode search gets its info from public posts
Your public Facebook posts could help inform AI-generated results in Meta's new AI Mode. When you search on Facebook, the "AI Mode" option will appear alongside the usual search modes like "People" and "Marketplace." It's one of several new AI features Meta is rolling out starting today, including photo presets that swap sports jerseys onto fans and suggestions for collage templates. Instead of "just links," it gives users AI-generated results that pull from publicly-posted content across Meta's platforms, like the AI search feature in its new Reddit-like Forum app. Users can also ask Meta's AI follow-up questions in response to the search … Read the full story at The Verge.
Meta’s Muse Spark AI answers questions based on what it’s learned from the social network. Meta’s Muse Spark AI answers questions based on what it’s…
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