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Dive into the hottest AI breakthroughs of the week—handpicked just for you!
Super Important AI News 🔥 🔥 🔥
💡 Salesforce AI Research Introduces Moirai-MoE: A MoE Time Series Foundation Model that Achieves Token-Level Model Specialization Autonomously
Featured AI Research 🛡️🛡️🛡️
Summary
NVIDIA researchers have stepped up to address these challenges by introducing MM-Embed, the first multimodal retriever that has achieved state-of-the-art (SOTA) results on the multimodal M-BEIR benchmark and ranks among the top five retrievers on the text-only MTEB retrieval benchmark. MM-Embed aims to bridge the gap between multiple retrieval formats, allowing for a more fluid search experience that spans both text and image-based content. The researchers fine-tuned MM-Embed using a multimodal large language model (MLLM) as a bi-encoder retriever across 16 retrieval tasks and ten datasets, demonstrating its versatility. Unlike other existing retrievers, MM-Embed does not restrict itself to a single type of data but instead supports complex user queries that may be composed of both text and images. Furthermore, the introduction of modality-aware hard negative mining plays a crucial role in enhancing MM-Embed’s retrieval quality by minimizing the biases commonly seen in MLLMs…
Other AI News 🎖️🎖️🎖️
🎙️ Researchers from Stanford and Cornell Introduce APRICOT: A Novel AI Approach that Merges LLM-based Bayesian Active Preference Learning with Constraint-Aware Task Planning
♦️ Is Your LLM Agent Enterprise-Ready? Salesforce AI Research Introduces CRMArena: A Novel AI Benchmark Designed to Evaluate AI Agents on Realistic Tasks Grounded on Professional Work Environments
