Copyter Integrations

Microsoft Word is the world’s leading word processing software, designed to help you write, read, and create with confidence. Powered by Copilot, Word uses AI to help you generate ideas, refine drafts, and edit your writing with clarity and precision. Whether you’re working on essays, reports, proposals, or creative writing, Word delivers professional results across devices—desktop, web, and mobile. With Editor and built-in collaboration tools, teams can co-author documents in real time while maintaining consistency and accuracy. Integrated with Microsoft 365, Word also connects seamlessly with apps like Excel, PowerPoint, and OneDrive for a complete productivity experience. Trusted by millions, Word empowers individuals and businesses to create polished, impactful content anytime, anywhere.

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.

GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.