Canada
مؤسسات ونماذج الذكاء الاصطناعي من Canada
المؤسسات النشطة
١
النماذج المتتبعة
٤٥
أحدث نموذج
سبتمبر ٢٠٢٦
أحدث الإصدارات من Canada
سبتمبر ٢٠٢٦
Multilingual multimodal embedding model optimized for enterprise document retrieval, including financial documents and parsed PDFs. Shares an embedding space with Embed 5 Fast.
أغسطس ٢٠٢٦
Parse v5.0 is Cohere's document parsing model for extracting ordered text, tables, images, captions, and layout-aware blocks from document images.
يوليو ٢٠٢٦
Cohere Transcribe Arabic is a multidialectal Arabic-English automatic speech recognition model optimized for far-field audio and code-switching.
يونيو ٢٠٢٦
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
مايو ٢٠٢٦
Command A+ is Cohere's updated Command-family multimodal model with image understanding, a 128k context window, and stronger instruction-following and agentic performance.
مارس ٢٠٢٦
Cohere Transcribe is a multilingual 2B-parameter automatic speech recognition model for audio-to-text transcription.
فبراير ٢٠٢٦
Tiny Aya Earth is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
Tiny Aya Fire is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
Tiny Aya Global is a language model from Cohere for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
المؤسسات من Canada
النماذج من Canada
استعرض الكتالوج الكامل المصنّف حسب المؤسسة.
٤٥ نموذجًا
Cohere
٤٥ نموذجًاMultilingual multimodal embedding model optimized for low latency and high throughput in interactive search and high-volume retrieval. Shares an embedding space with Embed 5 Pro.
Multilingual multimodal embedding model optimized for enterprise document retrieval, including financial documents and parsed PDFs. Shares an embedding space with Embed 5 Fast.
Parse v5.0 is Cohere's document parsing model for extracting ordered text, tables, images, captions, and layout-aware blocks from document images.
Cohere Transcribe Arabic is a multidialectal Arabic-English automatic speech recognition model optimized for far-field audio and code-switching.
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Command A+ is Cohere's updated Command-family multimodal model with image understanding, a 128k context window, and stronger instruction-following and agentic performance.