Agentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code
Presented at All Things Open RTP Meetup Presented by William Hill - Developer Advocate, NVIDIA 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
Agentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code
- 3. 3 Ingredients Agentic Data Science 1. Data & Data Processing a. Denormalize single frame b. Common Python Tools pandas, Spark, Polars 2. Execution Speed a. GPU Accel for Data b. Zero Code Changes 3. Code Generation LLM a. Simple API b. Feedback Loop
- 4. DATA
- 7. How do I use it? ( Colab Demo )
- 12. How do I install it? ( rapids.ai )
- 13. How do I use if not in notebook??
- 14. build.nvidia.com
- 15. Meta Llama 405B llama-3.1-nemotron-ultra-253B Fine-Tuned for Reasoning of 1. Math 2. Code 3. Reasoning 4. Chat 5. Tool Calling
- 31. Full Demo ( Colab Demo )
- 32. UI - Streamlit ( Jay’s Demo )
- 37. ← how I made this animated plot https://www.youtube.com/shorts/qlrIUthj658