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Gen AI Boot Camp, Parts 1 and 2 | Working With Snowflake Cortex Analyst And Cortex Search

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This video combines the content from both parts of the Gen AI boot camp offered during BUILD 2024. Both were led by Snowflake's AI/ML experts, Arun Agarwal and Carlos Carrero.
LINKS TO QUICKSTART GUIDES
Getting Started with Cortex Analyst: Augment BI with AI
Creating Semantic Models for Cortex Analyst
Build a Retrieval Augment Generation-based (RAG) LLM Assistant Using Streamlit and Snowflake Cortex Search
CHAPTER TIMECODES
00: 00:00 -- Welcome and Intro
00:10:52 -- Start of Part 1: Hands on Lab
01:02:00 --Start of Part 2: Hands on Lab
BOOT CAMP, PART 1:
Unlock the power of self-service analytics by leveraging Snowflake Cortex Analyst, a conversational AI service that transforms natural language questions into SQL queries, providing fast and accurate answers. Cortex Analyst enables business users to easily access insights without relying on technical teams, making data analysis faster and more efficient. In this boot camp, you’ll learn how to:
-- Build an intuitive self-service analytics app without complex infrastructure or integrations
-- Use Cortex Analyst’s natural language interface to automatically generate SQL and retrieve precise answers from your data
-- Learn tips and tricks to create semantic model on your enterprise data
-- Develop customizable, real-time analytics apps for business users
BOOTCAMP, PART 2:
Despite foundational LLMs’ requiring extensive training, their knowledge base is outdated and lacks information that is protected inside the enterprise. To address hallucinations that LLMs may have from unseen information, retrieval augmented generation (RAG) is a cost-effective strategy that teams can use to build chatbots on top of an enterprise knowledge base. Snowflake Cortex Search provides a low-latency, high-quality “fuzzy” search that empowers your RAG apps. In this boot camp, you’ll learn how to easily and securely build your own AI apps. You will also learn how to:
-- Build an end-to-end RAG app without complex orchestration, integrations or infrastructure to manage
-- Develop chat interfaces to quickly test, prototype, and deploy business-facing applications
-- Leverage Cortex Search to find the most relevant pieces of information from your documents
-- Use Cortex AI with leading LLMs to complete your answers
Subscribe to this channel for more great content!
Explore sample code, download tools, and connect with peers:
#Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence
LINKS TO QUICKSTART GUIDES
Getting Started with Cortex Analyst: Augment BI with AI
Creating Semantic Models for Cortex Analyst
Build a Retrieval Augment Generation-based (RAG) LLM Assistant Using Streamlit and Snowflake Cortex Search
CHAPTER TIMECODES
00: 00:00 -- Welcome and Intro
00:10:52 -- Start of Part 1: Hands on Lab
01:02:00 --Start of Part 2: Hands on Lab
BOOT CAMP, PART 1:
Unlock the power of self-service analytics by leveraging Snowflake Cortex Analyst, a conversational AI service that transforms natural language questions into SQL queries, providing fast and accurate answers. Cortex Analyst enables business users to easily access insights without relying on technical teams, making data analysis faster and more efficient. In this boot camp, you’ll learn how to:
-- Build an intuitive self-service analytics app without complex infrastructure or integrations
-- Use Cortex Analyst’s natural language interface to automatically generate SQL and retrieve precise answers from your data
-- Learn tips and tricks to create semantic model on your enterprise data
-- Develop customizable, real-time analytics apps for business users
BOOTCAMP, PART 2:
Despite foundational LLMs’ requiring extensive training, their knowledge base is outdated and lacks information that is protected inside the enterprise. To address hallucinations that LLMs may have from unseen information, retrieval augmented generation (RAG) is a cost-effective strategy that teams can use to build chatbots on top of an enterprise knowledge base. Snowflake Cortex Search provides a low-latency, high-quality “fuzzy” search that empowers your RAG apps. In this boot camp, you’ll learn how to easily and securely build your own AI apps. You will also learn how to:
-- Build an end-to-end RAG app without complex orchestration, integrations or infrastructure to manage
-- Develop chat interfaces to quickly test, prototype, and deploy business-facing applications
-- Leverage Cortex Search to find the most relevant pieces of information from your documents
-- Use Cortex AI with leading LLMs to complete your answers
Subscribe to this channel for more great content!
Explore sample code, download tools, and connect with peers:
#Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence
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