Multimodal RAG brings together audio, text, images, and documents to enrich large language models (LLMs) with varied content types. This topic is for anyone interested in how to build RAG systems and fine-tune multimodal embeddings for tasks like document analysis and AI project development. You'll learn practical skills through examples like creating custom knowledge systems and using Python to harness multimodal capabilities across different projects.
20:40
11:13
35:35
21:21
19:29
27:56
27:43
24:38
21:19
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
08:31
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.