When it comes to generative AI, the Transformer architecture has become a popular choice in recent years, particularly in natural language processing tasks such as language translation and text generation. The Transformer is a neural network architecture that features self-attention mechanisms to allow for information to flow forward and backward through the network, making it highly effective in generating high-quality text outputs. Additionally, the Transformer’s ability to model complex language patterns and learn long-range dependencies has made it a crucial tool in chatbots and languag...
Generative AI has come a long way since its early days of rule-based and expert systems in the 1960s. Through advancements in technologies like variational inference, attention mechanisms, and transformers, generative AI can now produce diverse and realistic outputs that were previously unattainable. With the use of generative AI systems, industries like healthcare, finance, transportation, and manufacturing can now operate more efficiently and productively.