Canada
CanadaのAI組織とモデル
活動中の組織
1
掲載モデル数
45
最新モデル
2026年9月
Canadaの最新リリース
2026年9月
Multilingual multimodal embedding model optimized for enterprise document retrieval, including financial documents and parsed PDFs. Shares an embedding space with Embed 5 Fast.
2026年8月
Parse v5.0 is Cohere's document parsing model for extracting ordered text, tables, images, captions, and layout-aware blocks from document images.
2026年7月
Cohere Transcribe Arabic is a multidialectal Arabic-English automatic speech recognition model optimized for far-field audio and code-switching.
2026年6月
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...
2026年5月
Command A+ is Cohere's updated Command-family multimodal model with image understanding, a 128k context window, and stronger instruction-following and agentic performance.
2026年3月
Cohere Transcribe is a multilingual 2B-parameter automatic speech recognition model for audio-to-text transcription.
2026年2月
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.
Canadaの組織
Canadaのモデル
組織別に整理されたカタログ全体を見る。
モデル数: 45
Cohere
モデル数: 45Multilingual 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.