Infuse domain knowledge into language models beyond context limits
Conduit helps developers efficiently train AI models without hitting context window barriers. It uses fine-tuning and modular adapters to embed specialized knowledge/behavior into language models. Continuously improves models through real user feedback while keeping sensitive data secure in your own cloud.
Combine specialized model behaviors like building blocks
Improve models using real-world user feedback automatically
Keep sensitive data secure in your own cloud environment
Works with existing OpenAI API implementations seamlessly
Uses fine-tuned adapters instead of prompt stuffing to embed knowledge
Yes, works with OpenAI API implementations without code changes
Supports deployment in your own VPC for data security
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
Conduit by Automorphic can be integrated with this app or service:
Recent data shows that Conduit by Automorphic has 1.7K monthly visits (35.4% increase from the previous month), 61.0% bounce rate, and average 1.37 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 1 countries worldwide, led by United States contributing 100% of total traffic. SEO performance is shown by 2 tracked keywords, with "automorphic" being the top-performing keyword with 350 monthly searches. See below for more info.
Monthly Visits
1.7K
Pages per Visit
1.37
Bounce Rate
61.0%
Average Time on Site
26s
| SEO Keyword | Volume | CPC |
|---|---|---|
| automorphic | 350 | - |
| prompt stuffing | 60 | - |
| Source | Traffic Share |
|---|---|
| Direct | 49% |
| Search | 33% |
| Social | 10% |
| Referrals | 6% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 100% |
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