From the course: Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications
Join today to access over 24,500 courses taught by industry experts.
Multimodal AI essentials: Summary
From the course: Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications
Multimodal AI essentials: Summary
- Thank you for joining me on this journey through multimodal AI essentials. We began by exploring the foundational concepts of multimodal AI, understanding how systems process and integrate diverse data modalities like text, images, audio, and even video. We then dive into practical applications of multimodal AI from visual question and answering or VQA to multimodal pipelines for voice to voice communications, and we even saw examples of crossmodal semantic search. Along the way, we uncovered several important techniques, including the power of embeddings, prompting, and how we might use both of these together to create advanced AI systems. Our focus shifted to fine tuning and customization where we learned how to both tailor open source and proprietary models for specific tasks, and also learned how to combine them into our own custom architectures for our own custom needs through optimized fine tuning loops, unlocking the potential to design all kinds of systems that outperform…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.