Gemma 3 Local Test: Coding, Data Extraction, Data Labelling, Summarization, RAG

Explore Google Deepmind's Gemma 3 multimodal model family in this 21-minute tutorial that tests its capabilities in a local environment using Ollama. Learn how this multilingual model with 128k context window performs across various tasks including coding, data labeling, text summarization, structured data extraction (including vision capabilities), and RAG-based question answering. The video walks through practical examples from generating hip-hop lyrics to extracting information from tables, providing a comprehensive assessment of the model's strengths and limitations. Perfect for developers and AI enthusiasts wanting to understand how Gemma 3's different sizes (1B, 4B, 12B, and 27B) can be implemented locally for various applications.