Title

AWS re:Invent 2023 - Building an AI comic video generator with Amazon Bedrock (COM202)

Summary

The speaker, a technology enthusiast, shares his journey of creating AI projects for personal use, including naming his son using an AI model, building an AI tech for his son to interact with video games, and a fashion recommendation system for his wife.
He introduces his latest project, Auli, an AI Comic Video Generator, which was inspired by his desire to tell his son personalized bedtime stories with moral lessons.
Auli uses a story title and photos of toys to generate a music video with audio narration, all done automatically.
The speaker demonstrates how to use Amazon Bedrock's large language models (LLMs) to generate story scripts and Amazon Polly for audio narration.
He explains the challenges faced, such as character inconsistency and scene focus, and how he overcame them using program engineering and fine-tuning techniques.
The speaker also discusses the use of AWS Batch for orchestration, Amazon SageMaker Jumpstart for image generation, and the MoviePy framework for video assembly.
He concludes by showcasing some of the stories generated by Auli and invites the audience to a Q&A session.

Generative AI is becoming increasingly accessible, allowing even non-technical users to leverage its capabilities for creative and practical applications.
The speaker's personal projects demonstrate the potential of AI to solve everyday problems and enhance personal experiences, such as storytelling and fashion choices.
The development of Auli highlights the iterative process of AI project development, including problem identification, solution design, and overcoming technical challenges.
The use of Amazon Bedrock and its LLMs, along with other AWS services like Amazon Polly and AWS Batch, showcases the integration of various AWS tools to build a comprehensive AI solution.
Fine-tuning pre-trained models, such as Stable Diffusion, is a critical step in ensuring the consistency and relevance of generated content, especially when dealing with specific characters or objects.
The speaker's approach to overcoming challenges, such as character inconsistency and scene focus, provides insights into the complexities of AI content generation and the importance of clear and focused input data.
The talk emphasizes the importance of experimentation and continuous learning in the field of AI, as well as the potential for AI to redefine software capabilities and create new user experiences.