Build Custom LLM Apps in Minutes with Secure, Enterprise Data

Data storage and retrieval shifted to the cloud removing data siloing and enabling easier, more efficient sharing of large-scale data in Enterprises. Behind the rise of large language models (LLMs) has been an intense focus on leveraging custom data that can be used for business applications. This talk explores how enterprises can unlock their large-scale enterprise grade data inside Snowflake for effective and powerful use of LLMs with NeMo including customization, retrieval, evaluation, and inference.