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1 day ago · In this work, we explore model merging in a diverse multi-task setting, combining safety and general-purpose tasks within a multilingual context. Each language introduces unique and varied learning challenges across tasks. We find that objective-based merging is more effective than mixing data, with improvements of up to 8% and 10% in general ...
1 day ago · According to an industry notice, this framework aims to “accelerate the acquisition of advanced Hypersonic Strike Capability” and will be crucial in advancing the UK’s strategic defence capabilities. The framework is valued at up to £1 billion and will run for seven years, concluding in March 2031. The procurement will involve the ...
2 days ago · Cohere's AI solutions are optimised for business-critical workflows and work seamlessly with our proprietary models and other components of our ecosystem." Cohere's enterprise AI suite supports end-to-end RAG systems, which have become a foundational building block for enterprises adopting Large Language Models (LLMs) and customising them with their proprietary data, as DraftWise has done.
1 day ago · 5% Safety Mix model reduces harm by 56.6% for SFT and 54.7% for DPO. However, by merging checkpoints instead of mixing data, we. chieve further reductions, reaching 58.2% for SFT and 57.8% for DPO. Overall, this supports the claim that merging models explicitly trained for diferent o.
5 days ago · Press Release. AMD Unveils Leadership AI Solutions at Advancing AI 2024. SAN FRANCISCO, Oct. 10, 2024 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today launched the latest high performance computing solutions defining the AI computing era, including 5 th Gen AMD EPYC™ server CPUs, AMD Instinct™ MI325X accelerators, AMD Pensando™ Salina DPUs ...
2 days ago · Researchers from Bangladesh University of Engineering and Technology, University of North Texas, York University, Canada, Salesforce Research, Qatar Computing Research Institute (QCRI), Fatima Al-Fihri Predoctoral Fellowship, and the Cohere For AI Community introduce Open-RAG—a novel framework that enhances the reasoning abilities of retrieval-augmented generation models using open-source LLMs.
6 days ago · The aim is to integrate MCG care guidelines into Cohere's Unify Decisioning tool to build a solution for prior authorization decision-making, driving higher rates of clinically relevant auto approvals while decreasing provider submission time and friction.
