Cohere and Enterprise Language Models: The Future of Secure, Sovereign AI EP.17 скачать в хорошем качестве

Cohere and Enterprise Language Models: The Future of Secure, Sovereign AI EP.17

Join Mahesh and Andrew Garkic as they explore enterprise AI and how Cohere is transforming large language models for businesses. Learn how secure, multilingual, and multimodal AI helps enterprises access their data without compromising privacy, compliance, or sovereignty. 💡 Topics Covered: -Cohere’s Command & Embed models -Retrieval Augmented Generation (RAG) -Agentic AI with the North platform -Use cases in finance, healthcare, legal, and government -Key takeaway: Enterprise AI is sovereign, multimodal, and multilingual. 00:00 – Introduction & Context – Why enterprise AI differs from ChatGPT and traditional LLMs 01:22 – Enterprise LLM Use Cases – Expense claims, internal policies, and business-specific data 03:10 – Why ChatGPT Can’t Handle Enterprise Data – Security, privacy, and compliance concerns 03:55 – Introduction to Cohere – Company background, funding, and Fujitsu partnership 05:48 – Cohere Models Overview – Command family, Embed models, and RAG explained 08:57 – Multimodal & Multilingual Capabilities – Handling images and multiple languages 10:10 – North Platform & Agentic AI – Low-code agentic platform for enterprise tools 13:21 – Multilingual Use Cases – Trilingual document search and global enterprise applications 16:29 – Data Sovereignty & Deployment Flexibility – Cloud, on-prem, and private cloud options 21:05 – Episode Summary – Three words that define enterprise LLMs: Sovereign, Multimodal, Multilingual