It’s easy to get confused when GenAI models are complex and can fit into multiple categories at once. In practice, many tools don’t belong to just one category. For example, GPT-4 is a transformer-based model, a multimodal model, and a large language model (LLM) all at once. *Popular Generative Models (simplified): GANs (Generative Adversarial Networks): Two neural networks compete, improving content generation over time. Transformer-based models: Learn from long-range dependencies between words. Diffusion Models: Generate complex data by adding and refining noise iteratively. VAEs (Variational Autoencoders): Encode data into a compact form, enabling creative content generation through latent space interpolation.

“Don’t bring a knife to a gunfight—choose the right AI database! Vector databases are ideal for AI/ML applications, but not all AI databases are vector-based. Examples include Neo4j (graph database), MongoDB (document database), Apache Cassandra (distributed database), and Amazon SageMaker (cloud-based database). Key features that make AI databases suitable for AI applications include integration with AI/ML frameworks, support for unstructured data, and features like explainable AI and transparency. Vector databases are designed for storing and querying vector data, perfect for tasks like image and video search, recommendation systems, and NLP. Some AI databases, such as Google Cloud Database and SingleStoreDB, also support vector data, bridging the gap between foundation models and enterprise GenAI apps for seamless integration.”

Step by step guide to becoming an Data Analyst in 2024

VS Code setup video from two years ago remains one of my most popular guides. It was time for a 2024 update with new tricks and optimizations to enhance your workflow. This setup is perfect for all data and AI related projects using Python. Learn how to create effective workflows, manage virtual environments, and double your productivity with the interactive mode. I also share my favorite new linter and code formatter! Post by Dave Ebbelaar