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Canadian AI startup Cohere is taking over Germany-based Aleph Alpha with support from Lidl’s owner, Schwarz Group. With the blessing of their governments, the companies intend to offer a sovereign alternative to enterprises in an AI landscape dominated by American players.
Cohere preparing new MoE model with vLLM optimization support, signaling open-weights or community-accessible release.
Gated context projectors improve cross-stage coherence in autonomous driving VQA by reducing perception-planning inconsistencies by 42.6%.
User reports Image Gen 2 demonstrates advanced reasoning in color composition, generating cinematic palettes and tonal coherence across panels.
Cohere explains MoE models' efficiency gains with speculative decoding via expert routing correlation and bandwidth optimization.
Cohere explains enterprise AI search capabilities for data integration and workflow automation.
Cohere discusses emerging multimodal AI search capabilities for information discovery.
Cohere releases Rerank 3 model with improved search precision and enterprise retrieval performance.
Cohere provides FAQ guide addressing common enterprise RAG search and retrieval questions.
Cohere explores how rerankers and embeddings improve search and retrieval for AI applications.
Ensemble deploys Cohere's custom LLM to add agentic AI automation to healthcare RCM platform.
Cohere publishes practical guide for implementing agentic RAG systems in enterprise settings.
Notion integrates Cohere Rerank to improve workspace search and retrieval accuracy.
Cohere publishes enterprise deployment guidance covering cost, security, and scaling challenges for AI model operations.
Cohere educational overview of AI infrastructure components: hardware, software, networking layers for AI stack construction.
Cohere marketing guide covering generative AI use cases and integration strategies for campaigns.
Cohere conceptual overview defining enterprise AI, its business applications, and role in driving automation and growth.
Cohere launches Transcribe speech-to-text API with accuracy/speed claims for audio data search and automation.
Cohere Labs releases Tiny Aya, open-weight multilingual model optimized for on-device inference across 200+ languages.
Cohere releases Command R7B, compact generative model optimized for speed/efficiency on commodity GPUs and edge devices.
Cohere and NVIDIA partner on NVIDIA-native sovereign AI model for secure, locally-run enterprise deployment.
Cohere appoints chess champion Magnus Carlsen as brand ambassador for company reputation and strategy messaging.
Cohere C-suite guide on enterprise AI advantages: productivity, competitive advantage, and 2026 adoption strategies.
Cohere analysis of AI adoption in financial services: productivity gains, operational efficiency, and implementation pathways.
Cohere webinar on AI applications in financial services; generic promotional content.
Cohere and SAP expand partnership to deploy sovereign AI solutions for European enterprises through SAP Sovereign Cloud.
Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.
We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.