![]() The Helvetica family of fonts includes several different weights and styles, including light, bold, and condensed versions of the font. The font can be used in a wide range of contexts, from corporate branding to body text in print and digital media. Helvetica has a modern appearance and is often used to create a professional, contemporary look. The font’s clean, simple design and high legibility make it easy to read in small sizes and on a variety of screens and devices. Helvetica has a neat and orderly appearance, with clean lines and a consistent character width. The characters in Helvetica have a symmetrical appearance, with an equal amount of white space on either side of the character strokes. Helvetica is a sans-serif font, which means it does not have small decorative lines at the ends of characters. This font is known for its clean, simple design and has become widely popular in the design world. Designed in 1957 by Swiss typeface designer Max Miedinger. “Our intention here is to establish Typeface as the preferred enterprise generated platform that works with many enterprise companies including Microsoft, Google and others, ” he said.Helvetica is a popular sans-serif typeface known for being used in various media for decades. Parasnis also said his company has a partnership with Microsoft. Parasnis said that Google Ventures is an investor in the company, as is Microsoft’s Venture Fund M2. Google and Typeface are hardly strangers, either. “We are focusing on specific enterprise use cases.” “Think of as much more horizontal innovation for everyone who uses Workspace,” he said. As Typeface is trained on an organization’s specific data, Parasnis said it can provide a level of deep customization that a general model cannot achieve. Parasnis said that Google is doing a lot of work in their own applications to integrate generative AI, although in his view that work is more generic. “That’s not what a LangChain user can do.” Google already integrates generative AI, Typeface goes a step furtherĪs part of the Google partnership, organizations will be able to directly integrate Typeface with Google Workspace applications. Parasnis said this differs from what Google itself is already doing.Īt its I/O event in May, Google announced its own Duet Generative AI services for Google Workspace. “Flow is more for business users to say, ‘I want to do Instagram posts, or I want to do a Google ad,'” Parasnis said. ![]() Typeface’s Flow service is doing the same thing LangChain does at the developer level, but doing it for higher level business workflows for generative AI. Parasnis noted that Typeface is using LangChain internally, but it is a developer tool. In the developer community, the open source LangChain tool is increasingly being used to chain multiple generative AI prompts and models. For example, an organization might want to generate an image and text for a marketing campaign. Simply generating a piece of text or an image is often only one piece of an organization’s workflow. TypeFace FLOW is like LangChain, but for enterprises On top of the Typeface Graph is a vector database which can then help with data retrieval and interfacing with the LLMs. “If you’re a big brand, your content is an asset and you don’t want it getting used or misused by many other people.”Ī layer called the Typeface Graph - a proprietary technology that can sit on top of existing LLMs - is like a data lake, but it is multi-model as it understands images, text and videos to help create a rich metadata model of an organization’s content, Parasnis explained. “We will give a company a proprietary container of AI models that they own and control and it doesn’t flow back into the broader model,” said Parasnis. The training is company-specific and aims to address any potential privacy concerns. Parasnis explained that Typeface is going beyond zero shot to help to build out customized models based on existing LLMs. But, the approach doesn’t always yield the best results. “This is the next stage of generative AI, where companies will take generic models but customize them uniquely to their products, their voice, their customer and their audiences.” Inside the Typeface AI platform, it’s more than a zero shot modelĬustomizing existing LLMs is commonly achieved with a zero shot approach to fine tuning that doesn’t require much (if any) additional training. “This is what we call affinity AI,” Parasnis told VentureBeat.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |