How a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments.
How a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments.
When to lean on gen AI and when to choose traditional AI to achieve your business goals.
RAG uses external resources to train models, fine-tuning involves further training on specialized datasets. Learn when to use each one and why
Learn to build gen AI pipelines that are modular, so they can support up-to-date LLM deployment and management
Gen AI is already impacting customer care organizations across many different use cases. In this post we dive deep into these use cases and their business and operational impact, and show how one is built.
Distributed ingestion is a great way to increase scalability for ML use cases with large datasets. But like any ML component, integrating and maintaining another tool introduces engineering complexity. Here's how to simplify it.