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Description
Apollo is a streamlined mobile application that facilitates completely on-device, cloud-independent AI interactions, allowing users to interact with sophisticated language and vision models in a secure, private manner with minimal delays. It features a collection of compact foundation models sourced from the company's LEAP platform, enabling users to compose messages, send emails, converse with a personal AI assistant, create digital characters, or utilize image-to-text functions, all while maintaining offline capabilities and ensuring no data is transmitted beyond the device. Optimized for immediate responsiveness and offline functionality, Apollo guarantees that all inference occurs locally, eliminating the need for API calls, external servers, or logging of user data. This application acts as both a personal AI exploration tool and a development environment for those utilizing LEAP models, allowing users to effectively assess a model's performance on their specific mobile devices prior to more widespread implementation. Additionally, Apollo's design emphasizes user autonomy, ensuring a seamless experience free from external interruptions or privacy concerns.
Description
The Apple Foundation Models framework enables developers to leverage Apple's on-device model, which excels in language comprehension, organized output, and invoking tools. This framework grants access to the large language model integral to Apple Intelligence, thereby assisting applications in executing intelligent tasks tailored to their specific needs. By recognizing patterns, the text-based on-device model can produce relevant text in response to various prompts and has the capability to call upon developer-written code for targeted functionalities. Developers are empowered to create text content across a multitude of applications, such as summarization, entity extraction, text comprehension, enhancement, game dialogues, creative content crafting, classification, and beyond. Additionally, it offers guided generation features that enable developers to construct complete Swift data structures with robust assurances by utilizing the Generable macro, enhancing the versatility and functionality of the model. Ultimately, this framework significantly streamlines the process of integrating advanced AI capabilities into applications.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Liquid AI
Founded
2023
Country
United States
Website
www.liquid.ai/apollo
Vendor Details
Company Name
Apple
Founded
1976
Country
United States
Website
developer.apple.com/documentation/FoundationModels