Healthcare is generating data faster than most other industries - to the tune of 30% of the world’s data volume annually. Imagine the impact we can have on lives across the world, if we can unleash the potential of all of this data, by coupling it with emerging technologies like generative AI. Clinical researchers, for example, could identify insights faster, using their own data, by querying it in natural language.
With retrieval augmented generation (RAG) architecture, organizations can deploy any large language model (LLM) and augment it to return relevant results for their organization by giving it a small amount of their data without the costs and time of fine-tuning or pre-training the model.
In this workshop with Databricks and John Snow Labs, you’ll learn about:
- Generative AI trends shaping the future of healthcare and life sciences
- Why the Databricks Data Intelligence Platform for Healthcare and Life Sciences is the platform for all your Gen AI workloads
- New features available on Databricks for deploying LLM and RAG use cases
- How to get started with an interactive RAG demo in healthcare and life sciences