Agentic AI for Developers and Data Scientists + Networking and Swag

Our June meetup will be a good one! The topic and speaker are both sensational and are sure to draw a crowd.

The topic:
Agentic AI for Developers and Data Scientists:
Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code

Host venue will be IBM's RTP campus, a wonderful location with plenty of capacity and parking. Food and beverages will be served and really cool swag will be available.

Doors open at 6:00 pm ET for networking. Live programming begins at 6:30 pm sharp.

*Note, this meetup is FREE to attend and participate, as always.

**Note, this meetup topic was originally scheduled to be How AI can help Platform Engineers build better platforms. **That topic will be featured at a future meetup.

Location and Address:
IBM
Building 500, Room G-104
4205 S Miami Blvd
Durham, NC 27703
*Questions regarding venue can be directed to Sahdev directly at 336-254-1689.

Directions:
1). Enter IBM campus from Miami Boulevard and Cornwallis Road,
2). Follow signs for IBM Software Group Main Lobby B500 and take third left (DEVELOPMENT LANE) toward Main Lobby 500.
3). Park into the Visitor Parking lot which is in the front of the B500. You will be escorted from the building entrance/lobby.

Speaker: William Hill - Developer Advocate, NVIDIA

Bio:
William is a Developer Advocate specializing in Open Source AI, ML, and Data Science libraries at NVIDIA. Prior to NVIDIA, William was an ML engineer, data scientist, and full-stack developer at various startups and large enterprises here in RTP like Google, Red Hat, SAS and IBM. Williamstarted his career as a computer programmer in the US Air Force. In the commercial sector, he developed neural networks and AI applications for various financial and scientific applications. Williamhas a bachelor’s degree in Computer Science and a master’s degree in Computer Information Systems from Boston University.

Talk Title: Agentic AI for Developers and Data Scientists
Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code

Abstract:
In this talk we will demonstrate building a working data science AI agent in 10 lines of basic Python code in a Colab notebook. Our AI Agent will perform LLM prompt-driven visual analysis using open-source libraries. In this session we will show how to develop an AI Agent using GPUs through NVIDIA’s developer program and Google Colab notebooks. After coding our AI Agent, we will break down the 10 lines of code. We will show the key components and open source library integrations that enable the agent's functionality, focusing on practical implementation details and then the theoretical concepts. The presentation concludes with a survey of current LLM technologies and the latest trends in developing AI applications for enthusiasts and enterprises

Questions? Contact us at info@allthingsopen.