Get started with AI agents In DATABRICKS | Beginners Guide

In this video, I will show you how to create a simple agent in Databricks Free Edition. Its a beginners guide so if you haven't created an agent before too, you could follow. Basic python skills needed. - Demonstrates how to build and test a generative AI agent using Mosaic AI Agent Framework on Databricks. - Automatically log traces from LLM calls for ease of debugging using Mlflow - The agent uses an LLM served on Databricks Foundation Model API - The agent has access to a single tool, the built-in Python code interpreter tool on Databricks Unity Catalog. It can use this tool to run LLM-generated code in order to respond to user questions. We will use databricks_openai SDK to query the LLM endpoint. Links ⛓️‍💥 https://docs.databricks.com/aws/en/generative-ai/tutorials/agent-quickstart https://github.com/sudarshan-koirala/databricks-tutorials/blob/main/first_ai_agent_in_databricks.py --------------------------------------------------------------------- ☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics ✌️Patreon: https://www.patreon.com/datasciencebasics ------------------------------------------------------------------------------------------ 🤝 Connect with me: 📺 Youtube: https://www.youtube.com/@datasciencebasics?sub_confirmation=1 👔 LinkedIn: https://www.linkedin.com/in/sudarshan-koirala/ 🐦 Twitter: https://twitter.com/mesudarshan 🔉Medium: https://medium.com/@sudarshan-koirala 💼 Consulting: https://topmate.io/sudarshan_koirala #aiagent #ai #databricks #datasciencebasics