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Small Is the New Big - How to Get Started with Open Source AI

All Things Open via YouTube

Overview

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Watch this 14-minute interview from All Things Open featuring IBM's Sriram Raghavan discussing how smaller, fit-for-purpose AI models and open collaboration are revolutionizing artificial intelligence development. Explore the concept that "small is the new big" in AI and discover how this approach makes AI more accessible, transparent, and practical for developers worldwide. Learn about three key open source AI projects: Data Prep Kit for data preparation, Docling for document processing, and Bee for AI agent management. Understand why AI needs community intelligence and how open source projects empower developers to experiment and innovate. Examine the intelligence that powers AI agents and discover why smaller models can be more impactful than large ones. Gain insights into model transparency, open source licensing considerations, and why projects like Granite use Apache 2.0 licenses while providing transparent development "recipes." Get practical guidance on how to get involved with open source AI projects and contribute to the growing community of AI developers building the next wave of artificial intelligence in the open.

Syllabus

0:00 - Intro
0:08 - Welcome
0:44 - Why does AI need community intelligence?
1:54 - Three open source AI projects
3:53 - Can the Bee project help people be HR managers of their own AI agents?
4:45 - What is the intelligence that powers AI agents?
6:23 - What are the small models more impactful?
6:58 - Model transparency and open source license discussion
8:53 - Why Granite uses Apache 2.0 and provides transparent "recipes"
11:01 - How to get involved with open source AI projects like Docling
13:02 - Wrap-up with Mark and Sriram

Taught by

All Things Open

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