New course: Build AI agents that generate images and videos -- an under-explored frontier. A key to ...
TL;DR · AI Summary
Andrew Ng announces a new short course on building AI agents for generating images and videos, emphasizing the importance of self-evaluation and iteration for improving output quality. The course, developed in collaboration with Google Cloud, is taught by Katie Nguyen and Wafae Bakkali and focuses on three evaluation techniques: image-text similarity scoring, LLM judging against custom criteria, and structured rubrics for detailed assessment.
Key Takeaways
- The course teaches how to build AI agents that generate images and videos, with a focus on self-evaluation and iteration to enhance quality.
- Key evaluation techniques include image-text similarity scoring, LLM judging, and structured rubrics for detailed assessment.
- Participants will learn image and video prompt engineering, and how to create agents that can turn brand guidelines into UI mockups and plan multi-scene explainers with synchronized audio.
Outline
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Andrew Ng introduces a new short course focused on building AI agents for generating images and videos, highlighting the under-explored nature of this frontier in AI.
The course emphasizes the importance of having AI agents evaluate their own output and iterate to improve quality, a key factor in achieving better performance.
The course is built in collaboration with Google Cloud and is taught by Katie Nguyen and Wafae Bakkali, bringing together expertise in AI and cloud technologies.
Students will learn three main evaluation techniques: image-text similarity scoring, LLM judging against custom criteria, and structured rubrics for detailed assessment of AI-generated content.
Participants will gain skills in image and video prompt engineering, building agents that can create UI mockups from brand guidelines and plan and animate multi-scene explainers with synchronized audi
The announcement concludes with an invitation to join the course to build AI agents that create images and videos, providing a link to the course page.
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- New AI Course for Image and Video Generation
Highlights
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A key to performance is having the agent evaluate its own output, and iterate to improve quality.
You'll learn three evaluation techniques and combine them in an agent: image-text similarity scoring to check the output matches the prompt, an LLM judge that scores against custom criteria like brand
Skills you'll gain: - Learn image and video prompt engineering - Build an image agent that turns brand guidelines into UI mockups - Build a video agent that plans multi-scene explainers and animates r
New course: Build AI agents that generate images and videos -- an under-explored frontier. A key to performance is having the agent evaluate its own output, and iterate to improve quality. This short course is built together with
and taught by Katie Nguyen and Wafae Bakkali. You'll learn three evaluation techniques and combine them in an agent: image-text similarity scoring to check the output matches the prompt, an LLM judge that scores against custom criteria like brand consistency, and structured rubrics that break a prompt into verifiable yes/no questions like "is the subject in the frame?" and "does the camera motion match?" Skills you'll gain: - Learn image and video prompt engineering - Build an image agent that turns brand guidelines into UI mockups - Build a video agent that plans multi-scene explainers and animates reference frames with synchronized audio Join and build agents that create images and video! deeplearning.ai/courses/ai-age