GlimmerAI Integrations

Create presentations that stand out. Get your ideas across with beautiful design, rich animation, cinematic motion, 3D models and icons. Let intelligent technology help you bring your presentation to life with a few clicks. Tell your story with confidence with slide-by-slide notes only viewable by you. Easily translate your slides into the preferred language and use the built-in accessibility checker to be sure your audience doesn’t miss a thing. With Office 365, collaborate using real-time co-authoring and comments to get input from teammates on your presentation. Plus, save it to the cloud to easily share with others and access it from anywhere, at any time, on any device. See how the fashion entrepreneur and lifestyle blogger uses PowerPoint as her ultimate tool to communicate with impact.

Our GPT-3 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. Davinci is the most capable model, and Ada is the fastest. The main GPT-3 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.

DALL·E 2 can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles. DALL·E 2 can can expand images beyond what’s in the original canvas, creating expansive new compositions. DALL·E 2 can make realistic edits to existing images from a natural language caption. It can add and remove elements while taking shadows, reflections, and textures into account. DALL·E 2 has learned the relationship between images and the text used to describe them. It uses a process called “diffusion,” which starts with a pattern of random dots and gradually alters that pattern towards an image when it recognizes specific aspects of that image. Our content policy does not allow users to generate violent, adult, or political content, among other categories. We won’t generate images if our filters identify text prompts and image uploads that may violate our policies. We also have automated and human monitoring systems to guard against misuse.