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Description
Izuran Pro serves as an AI assistant designed specifically for Apple Silicon Macs, operating either open-weight models on the user's device or via a model server located within the user's network. It seamlessly interacts with local files, folders, calendars, reminders, contacts, notes, emails, and various other enabled Mac applications; it effectively organizes tasks into projects, schedules and plans activities, and provides recommended modifications for user approval. The integrated MLX engine accommodates downloadable models like Qwen and Gemma, while allowing users to incorporate their own local model servers alongside customized MCP tools. Additional optional integrations include Gmail, Signal, Apple services, Philips Hue smart lighting, web searches through xAI, and payment processing via Link. An accompanying iPhone application facilitates conversations and permissions, although functionalities such as voice interaction and Apple Watch compatibility are still under development. Currently, Izuran Pro is available through an invitation-only private beta, and AIC also provides server deployment options tailored for private networks, catering specifically to offices and teams. This innovative assistant aims to enhance productivity by streamlining various tasks and workflows in a user-friendly manner.
Description
Tinker is an innovative training API tailored for researchers and developers, providing comprehensive control over model fine-tuning while simplifying the complexities of infrastructure management. It offers essential primitives that empower users to create bespoke training loops, supervision techniques, and reinforcement learning workflows. Currently, it facilitates LoRA fine-tuning on open-weight models from both the LLama and Qwen families, accommodating a range of model sizes from smaller variants to extensive mixture-of-experts configurations. Users can write Python scripts to manage data, loss functions, and algorithmic processes, while Tinker autonomously takes care of scheduling, resource distribution, distributed training, and recovery from failures. The platform allows users to download model weights at various checkpoints without the burden of managing the computational environment. Delivered as a managed service, Tinker executes training jobs on Thinking Machines’ proprietary GPU infrastructure, alleviating users from the challenges of cluster orchestration and enabling them to focus on building and optimizing their models. This seamless integration of capabilities makes Tinker a vital tool for advancing machine learning research and development.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Apple Calendar
Yes
Apple Mail
Yes
Apple Maps
Yes
Apple Music
Yes
Apple Notes
Yes
Apple Photos
Yes
Apple Reminders
Yes
Inkling
No
Inkling-Small
No
Link
Yes
Integrations
Apple Calendar
No
Apple Mail
No
Apple Maps
No
Apple Music
No
Apple Notes
No
Apple Photos
No
Apple Reminders
No
Inkling
Yes
Inkling-Small
Yes
Link
No
Pricing Details
Private AI server packages include Izuran Pro, with pricing based on hardware configuration and support.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Ambition Innovation Creativity
Founded
2021
Country
United States
Website
izuran.ai/
Vendor Details
Company Name
Thinking Machines Lab
Country
United States
Website
thinkingmachines.ai/tinker/
Product Features
Product Features
Alternatives
No Alternatives
