Multimodal LLMs
Work with vision-language models, audio LLMs, and multimodal pipelines.
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After this skill you can…
- Use GPT-4V / Claude Vision for image understanding
- Build document OCR pipelines
- Chain audio → text → action workflows
Prerequisites
Watch (10 videos)
Why Self-Evolving AI Models Are Ignoring Your Images
→ Train self-evolving multimodal models→ Improve visual understanding and image generation→ Develop production vision pipelines
Local Multimodal RAG on the NVIDIA DGX Spark | Part 1 - Creating a dataset
→ Create a Multimodal RAG dataset→ Build a Local Multimodal RAG setup
What Are Large Language Models?
→ Develop multimodal LLMs→ Integrate LLMs with computer vision and audio processing
Step-GUI: The Self-Evolving AI Agent for Android & PC (SOTA Performance!)
→ Build multimodal LLMs→ Automate tasks across diverse digital environments
Luma Ray 3 DESTROYS VEO 3?
→ Create realistic crowd videos→ Produce high-quality video content→ Automate video production tasks
GWM Real-time Worlds — Research Demo Day 2025 | Runway
→ Simulate dynamic worlds→ Explore complex environments→ Generate real-time videos
End To End Multimodal LLMOPS Project Azure Deployment With Observability And Orchestration Engine
→ Develop multimodal LLM-based applications→ Integrate multimodal ingestion for transcripts and OCR
9 ADVANCED ComfyUI nodes.
→ Generate images using ComfyUI nodes→ Interpolate between video frames using RIFE→ Manipulate latent space using reference latent
Mistral Small 4: One AI Model for Everything? 🤯
→ Build multimodal AI models→ Implement coding abilities in AI→ Apply reasoning in AI models
Google Cloud Live: Hands-on AI workshop: Multimodal agents
→ Build multimodal agents→ Deploy AI models for image, video, and audio processing
DeepCamp AI