Apple Foundation ModelsApple
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GPT-3OpenAI
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Related Products
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About
The Apple Foundation Models framework lets developers perform tasks with Apple’s on-device model that specializes in language understanding, structured output, and tool calling. It provides access to the on-device large language model that powers Apple Intelligence, helping apps perform intelligent tasks specific to their use case. The text-based on-device model identifies patterns that allow it to generate new text appropriate for the request, and it can make decisions to call code written by the developer to perform specialized tasks. Developers can generate text content for a wide range of tasks, including summarization, entity extraction, text understanding, refinement, dialog for games, creative content generation, classification, and more. It also supports guided generation, allowing developers to generate entire Swift data structures with strong guarantees by using the Generable macro.
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About
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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Apple app developers who need to add private, on-device generative AI features with structured output and tool calling
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Audience
Users interested in a powerful large-scale unsupervised language model which has been trained on a vast amount of text data, capable of generating text that appears to be human-written and can also generate images, code, and other creative outputs
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$0.0200 per 1000 tokens
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationApple
Founded: 1976
United States
developer.apple.com/documentation/FoundationModels
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Company InformationOpenAI
Founded: 2015
United States
beta.openai.com/docs/models/gpt-3
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Alternatives |
Alternatives |
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Categories |
Categories |
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Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Natural Language Generation Features
Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
Natural Language Processing Features
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
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Integrations
AI CLI
AgentGPT
Bubbly
ChatOga
Cheat Layer
DB Sensei
Flowshot
Haystack
Lex
Microsoft 365 Copilot
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Integrations
AI CLI
AgentGPT
Bubbly
ChatOga
Cheat Layer
DB Sensei
Flowshot
Haystack
Lex
Microsoft 365 Copilot
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