$600 Fullstack Live Event Free With a Membership!
Unlock the power of open-source AI with this hands-on workshop! Learn to build secure, reliable LLM applications from scratch using Snowflake, Streamlit, and TruLens. Master the art of integrating LLMs, creating engaging chatbots, and ensuring your AI models perform optimally.
This full day Conference Stream provides you with expert insights on how to build secure & reliable LLM Apps. A basic understanding of Python and GenAI concepts, as well as a laptop with pre-installed necessary software are required for this event.
Overview of Snowflake Cortex and Arctic LLM Exploring out-of-the-box LLM functions. Setting up your development environment
Building with Snowflake Cortex and Streamlit. Integrating Streamlit with Snowflake Cortex Implementing Retrieval Augmented Generation (RAG) with Cortex Search. Developing a real-time chatbot.
Explore TruLens, an open-source project for LLM observability and evaluation. Learn how to add TruLens observability to your LLM applications, log results to Snowflake tables, and how to identify low performance.
Explore how adding guardrails to your applications with TruLens can improve performance. Incorporate TruLens observability components within your Streamlit applications.
Get to know Kamesh better with an open discussion and problem-solving Resources for further learning. By the end of this workshop, participants will have: Practical experience in building secure LLM applications, Skills to integrate Snowflake Cortex, Streamlit, and TruLens. Understanding of best practices for enterprise AI development.
Kamesh is a veteran tech innovator with 20 years of experience in the trenches, he is an author and developer advocate on a mission to demystify data and cloud technologies. His passion lies in empowering developers to push boundaries and achieve the impossible. With a proven track record of crafting enterprise solutions across diverse industries, Kamesh brings battle-tested insights to the developer community, inspiring others to help code the future.