Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of fine-tuning and deploying tiny text and vision models in this 44-minute tutorial. Dive into the architecture of multi-modal models, focusing on the Moondream model's components including its vision encoder (SigLIP), MLP (visionprojection), and language model (Phi). Learn how to apply LoRA adapters to multi-modal models and follow along with a hands-on fine-tuning notebook demo. Discover techniques for deploying custom APIs for multi-modal models, utilizing vLLM, and training models from scratch. Gain insights into multi-modal datasets and access a wealth of video resources to further your understanding of advanced vision and language processing techniques.