Thread by @NewOrleansVC

1/ Day 7 of #AllInAI: Generative Adversarial Networks (#GANs)

Yesterday, we explored synthetic data, which led us to GANs - the tech behind creating realistic synthetic data. After learning more, there are several other real world applications that have come from GANs research… twitter.com/i/web/status/1…

2/ 👊GANs, or Generative Adversarial Networks, are a type of AI model architecture/technique. They consist of two separate neural networks, a Generator and a Discriminator, that are trained together in a process called Adversarial Training. The goal is to generate new, realistic… twitter.com/i/web/status/1…

3/ 🤖✍️ Imagine a GAN model generating realistic human signatures. The Generator creates a random signature, while the Discriminator classifies it as "real" or "fake." They improve over time, and eventually, the Generator creates signatures that look authentic & are hard to… twitter.com/i/web/status/1…

4/ 🌐 GANs have diverse applications beyond generating synthetic data! It's used in art generation (@OpenAI Dall-E2), medical image enhancement (@SubtleMedical), creating realistic 3D models, (@Nvidia GauGAN) and even generating video game assets (@PrometheanAI).

5/: 🎓 Goodfellow's "Original GAN" paper In 2014 introduced the concept of GANs.

🔗 Paper: arxiv.org/abs/1406.2661

Since then, researchers have introduced major advancements like DCGAN, StyleGAN, and CycleGAN expanding GANs' capabilities and adoption.

6/ 🔑 GANs have been instrumental in advancing generative AI, powering breakthroughs in generating realistic images, audio, and other content. Their adversarial training approach has inspired novel techniques and applications, transforming the AI landscape.

7/ 🚀 This paves the way for a new wave of startups focused on generating high-quality synthetic data, enhancing creative processes, and more. The opportunities are vast, from personalized retail experiences to smart content generation for marketing.

8/ 🚧With that said, training instability & ethical concerns like DeepFakes are pressing challenges for GANs. @RevelryVC is looking to connect with startups working on these problems, ensuring a safer and more stable future for generative AI. Reach out if you are! #AllInAI