Competitors
50
Go Back
JosefAlbers/Phi-3-Vision-MLX
github.comSummary
JosefAlbers/Phi-3-Vision-MLX is a GitHub repository that provides locally-run Vision and Language Models for Apple Silicon, optimized using the MLX framework. It supports Phi-3.5-vision and Phi-3.5-mini models for various AI tasks.
Feature Matches7/13
See all7/13
Must Have
4 of 5
Conversational AI
API Access
Fine-Tuning & Custom Models
Enterprise Solutions
Safety & Alignment Framework
Other
3 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingFree
See allFree
Team
$4.00 per user
- Access to GitHub Codespaces
- Repository rules
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month
- 2GB of Packages storage
- Web-based support
- GitHub Secret Protection
- GitHub Code Security
Enterprise
$21.00 per user
Popular- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Advanced auditing
- GitHub Connect
- 50,000 CI/CD minutes/month
- 50GB of Packages storage
- Premium support
Rationale
Phi-3-MLX is a versatile AI framework that leverages both the Phi-3-Vision multimodal model and the Phi-3-Mini-128K language model, optimized for Apple Silicon using the MLX framework. This project provides an easy-to-use interface for a wide range of AI tasks, from advanced text generation to visual question answering and code execution. It explicitly mentions API integration, fine-tuning capabilities (LoRA), multimodal AI (vision and language models), and conversational AI through its agent interactions. While it's a local-first solution for Apple Silicon, the underlying capabilities align well with the OpenAI Platform's offerings, particularly in its core AI functionalities and developer-centric approach. The enterprise solutions feature is matched due to the GitHub Enterprise context, which offers enterprise-grade features and support for AI tools like Copilot.
Found via Hacker NewsPaid
See allbest alternatives to competitor product 2024
competitor vs alternative comparison honest review
GossipPaid
See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.