Competitors
50
Summary
Kiln is an open-source tool designed for fine-tuning LLM models, synthetic data generation, and dataset collaboration. It provides intuitive desktop applications and a Python library with an OpenAPI REST API, supporting various AI models and providers. Kiln aims to streamline AI prototyping and facilitate collaboration between technical and non-technical teams.
Feature Matches5/13
See all5/13
Must Have
4 of 5
Conversational AI
API Access
Fine-Tuning & Custom Models
Enterprise Solutions
Safety & Alignment Framework
Other
1 of 8
Code Generation
Image Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingFreemium
See allFreemium
Free
$0.00 monthly
- Unlimited public/private repositories
- Dependabot security and version updates
- Issues & Projects
- Community support
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
Team
$4.00 per user
Popular- Everything included in Free, plus...
- Access to GitHub Codespaces
- Protected branches
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- Web-based support
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
Enterprise
$21.00 per user
- Everything included in Team, plus...
- 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 (Free for public repositories)
- 50GB of Packages storage (Free for public repositories)
Rationale
Kiln, an open-source tool, directly addresses several 'must-have' features. It explicitly offers 'Fine-Tuning & Custom Models' for LLMs and 'API Access' through its Python library and OpenAPI REST API. While not a direct 'Conversational AI' interface, it supports prompt generation and interaction with various models, including GPT, which implies conversational capabilities. The 'Code Generation' feature is present through its integration with GitHub Copilot and the ability to generate code snippets. 'Enterprise Solutions' are also supported through GitHub's broader offerings, which Kiln integrates with, providing features like team collaboration and security. The 'Safety & Alignment Framework' is partially covered by its privacy-first approach and integration with GitHub's security features, but not as a dedicated framework within Kiln itself. Multimodal AI is not explicitly mentioned, nor are specific research publications or threat intelligence reporting from Kiln.
Found via SearchPaid
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.