PROJECT : Build a Multi-modal Generation Agent

Project 5

Build a Multi-modal Generation Agent

Multimodal AI agents process and respond to inputs like text, images, and audio—making them more human-like and versatile than traditional AI. LangChain, LangGraph, AutoGen, and CrewAI are top frameworks for developers looking to build powerful, open-source, agentic systems in 2025

Overview of Image and Video Generation

• VAE
• GANs
• Auto-regressive models
• Diffusion models

Text-to-Image (T2I)

• Data preparation
• Diffusion architectures (U-Net, DiT)
• Diffusion training (forward process, backward process)
• Diffusion sampling
• Evaluation (image quality, diversity, image-text alignment, IS, FID, and CLIP score)

Text-to-Video (T2V)

• Latent-diffusion modeling (LDM) and compression networks
• Data preparation (filtering, standardization, video latent caching)
• DiT architecture for videos
• Large-scale training challenges
• T2V's overall system