Llama 4 Test: Coding, Data Extraction, Data Labelling, Summarization, RAG

Explore Meta's Llama 4 multimodal model family in this 22-minute tutorial that puts the AI to the test using Groq. Learn about the range of models from 109B (Scout) to 2T (Behemoth) parameters featuring mixture of experts (MoE) architecture, with Scout supporting an impressive 10M context window. Watch as various capabilities are demonstrated including coding tasks, hip hop lyrics generation, data labeling, text summarization, LinkedIn post creation, structured data extraction with vision capabilities, RAG/question-answering, and table data extraction. The video includes a complete walkthrough from introduction to benchmarks and practical notebook setup, allowing you to evaluate whether Llama 4's impressive benchmark results translate to real-world performance.