GENERATIVE AI & LLM SCHOOL 

Length: 45-MINUTE VIDEO Join this session to understand the history of Large Language Models and gain a technical understanding of what embeddings are, how fine-tuning works, and more. By the end you will have a practical understanding of core technical concepts as well as take part in demos that will help you see Generative AI technologies you can use in Snowflake.

Length: 30-MINUTE VIDEO Through a demo of Snowpark Container Services and other tools, see how you can use off-the-shelf OSS models in Snowflake. By the end you will have a better practical understanding of how to do things like calling completion APIs, prompt engineering, context injection, and fine-tuning.

Length: 45-MINUTE VIDEO Learn how to build your own intelligent chatbot using Snowflake and Streamlit, with live demonstrations of how to use Large Language Models to power natural language data explanation and exploration. At the end, speakers will also leave you with thoughts on how to navigate the implications for app development, data storage, and processing for these types of applications.

Length: 45-MINUTE VIDEO Learn how Princeton student Edward Tian explored and built an app with Streamlit that reached over 7 million people in just four days. Leave inspired to innovate and iterate your next big idea and possibly even turn it into its own business.

Length: 45-MINUTE HANDS ON LAB Follow a step-by-step guide to build an LLM-powered chatbot named “Frosty” that performs data exploration and answers questions by writing and executing SQL queries on Snowflake data using Streamlit as the front-end.

Length: 45-MINUTE VIDEO Join Jensen Huang (NVIDIA CEO) and Frank Slootman (Snowflake CEO) in this CEO fireside chat to discuss trends in Generative AI, accelerated computing, and the impact of Large Language Models on every industry and business model. Leave with a better understanding of the importance of data, governance, and the infrastructure needed to build AI factories in your organization.

Length: 45-MINUTE VIDEO Join AI leaders from Azure, Landing AI, and Nvidia on a moderated discussion around considerations enterprises should make when adopting Large Language Models. Leave this session with thoughtful views on what the future holds and how to start acting on the present opportunities.

Length: 45-MINUTE PODCAST Join this extraordinary panel to gain first insights from the inventors of the transformer model during their time at Google Brain about the critical problems that need to be addressed for implementation. Leave this session inspired and equipped with the knowledge to navigate the challenges that lie ahead for Large Language Models in the enterprise.

Length: 20-MINUTE VIDEO To make it easier to bring full-stack apps, LLMs, and other sophisticated data products to the data securely, watch Christian Kleinerman, SVP of Product at Snowflake, introduce Snowpark Container Services in private preview. Through demos, see how this new Snowpark runtime, which includes the option to run GPU-powered compute, can help you effortlessly deploy third-party models, vector databases, and more, all inside Snowflake.

Length: 45-MINUTE VIDEO Join this session to get an overview of all the functionality available to developers to deploy, manage, and scale containerized workloads in Snowflake from AI/ML models to full-stack applications. See this functionality in action through demos from Snowflake and Goldman Sachs and catch a summary of what’s coming next. Snowpark Container Services currently in private preview.

Length: 45-MINUTE VIDEO Join us to hear about Snowflake's new Document AI, an easy way to extract contents from documents with a built-in multi-modal LLM, and stay to learn more about Snowpark added support for processing images, video, audio, and more with Python and Java. Document AI currently in private preview.

Length: 10-MINUTE BLOG Read an overview of what led to the launch of Snowpark Container Services and the development that is in progress to combine this new Snowpark runtime with Snowflake Native Apps to bring third-party apps such as AI-powered notebooks from Hex, a vector database from Pinecone, Large Language Models from Reka, and more to run securely in your Snowflake account.

Length: 5-MINUTE VIDEO Deploy Hex inside Snowflake to securely train your most sophisticated ML models with NVIDIA GPUs in Snowpark Container Services. And using the same infrastructure you can run Hex Magic—a powerful AI assistant in every SQL and Python cell to help you accelerate your AI/ML development.