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Substituting expensive APIs with tailored AI solutions
personalizing foundational models for specific tasks
evaluating model effectiveness across different scenarios
scaling AI capabilities with minimal investment
User-friendly no-code environment
significant cost savings
flexibility in model usage
No-code fine-tuning on personal data
cost reduction on AI usage
integration in cloud or local infrastructure
model evaluation streamlining
scoring compliance with JSON
Customer support chatbot
FAQ assistant
Knowledge base search
Content recommendation engine
Deep customization of AI parameters and UI
Enhanced content analytics for informed decision-making
Ability to train models on specific internal data
Custom versions of ChatGPT and Llama 2
Retrieval augmented generation (RAG)
Fine-grained user management
Private API integration
Multiple knowledge bases