The text discusses the How to Hex session on Snowflake Cortex, a high-level overview of its powerful features, and a deep dive into Cortex LLM Functions. The session showcased a project that used Cortex in SQL and Python to extract meaningful insights from data, such as classifying product recalls and determining the total number of units impacted. Key points highlighted include the advantages of using Snowpark and Cortex on Hex compared to traditional methods, and how to evaluate which model suits the most. Additionally, considerations for using these Cortex functions, such as enabling cross-region inference, cost, and context window, were discussed. The text also touched upon fine-tuning models, deploying them using Snowflake Registry, and alternative options like OpenAI API calls or containerization in Snowflake.