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@@ -114,3 +114,13 @@ Takes in a numpy rgb image in channels first. It transforms input into animated
 Jie Chen, Gang Liu, Xin Chen
 "AnimeGAN: A Novel Lightweight GAN for Photo Animation."
 ISICA 2019: Artificial Intelligence Algorithms and Applications pp 242-256, 2019.
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+# More Resources
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+- [What is a Generative Adversarial Network? An Easy Guide](https://zilliz.com/glossary/generative-adversarial-networks): Just like we classify animal fossils into domains, kingdoms, and phyla, we classify AI networks, too. At the highest level, we classify AI networks as "discriminative" and "generative." A generative neural network is an AI that creates something new. This differs from a discriminative network, which classifies something that already exists into particular buckets. Kind of like we're doing right now, by bucketing generative adversarial networks (GANs) into appropriate classifications.
+So, if you were in a situation where you wanted to use textual tags to create a new visual image, like with Midjourney, you'd use a generative network. However, if you had a giant pile of data that you needed to classify and tag, you'd use a discriminative model.
+- [Multimodal RAG locally with CLIP and Llama3  - Zilliz blog](https://zilliz.com/blog/multimodal-RAG-with-CLIP-Llama3-and-milvus): A tutorial walks you through how to build a multimodal RAG with CLIP, Llama3, and Milvus.
+- [Generative AI for Creative Applications using Storia Lab - Zilliz blog](https://zilliz.com/blog/generative-ai-for-creative-applications-using-storia-lab): This post discusses how Storia AI generates and edits images through simple text prompts or clicks and how we can leverage Storia AI and Milvus to build multimodal RAG.
+- [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models.
+- [Real-Time GenAI without Hallucination Using Confluent & Zilliz Cloud](https://zilliz.com/product/integrations/confluent): nan
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