This guide explains how generative AI works and how to use it effectively with Writer’s platform.Writer’s generative AI enables applications to create text, images, and other content based on patterns learned from training data. Unlike traditional programming where you write explicit instructions, Writer’s AI learns to generate appropriate responses by understanding context, patterns, and relationships in data.
Prompts are the instructions you give to the AI model. They can be short questions, detailed instructions, or examples of the desired output format. Learn effective prompting techniques to get the results you want.Foundation models are large neural networks trained on vast amounts of text data. Writer offers multiple Palmyra models with different capabilities, from fast text generation to advanced reasoning and tool calling.Tokenization breaks down your input into smaller units (tokens) that the model can process. Understanding tokens and pricing helps you improve costs and performance.Neural network processing is where the model analyzes patterns, context, and relationships to determine the most appropriate response based on its training.Safety filtering checks generated content for harmful, biased, or inappropriate material. Writer includes built-in safety features to ensure responsible AI usage.
Writer’s Palmyra models provide different capabilities optimized for various use cases. Palmyra X5 is the latest and most advanced model with a 1M token context window, adaptive reasoning, and speed and cost efficiency. There are also specialized models for specific use cases, such as Palmyra Med for medical and healthcare applications, and Palmyra Fin for finance.