Terracotta's Core Features
Terracotta offers the following core features:
1. Model Management: Users can manage multiple fine-tuned models in one place.
2. Rapid Iteration: Improve models through easy qualitative and quantitative evaluation.
3. Multiple Providers: Connect to OpenAI and Cohere for model integration.
Terracotta Use Cases
Terracotta's Use Cases
Terracotta can be used for various purposes, including:
1. Natural Language Processing: Fine-tune models to optimize classification and text generation tasks.
2. Research and Development: Iterate quickly to improve models for academic or industrial research.
3. AI Applications: Develop LLM-based applications by leveraging Terracotta's easy-to-use platform.
Rompt helps developers and companies fine-tune their AI-powered products by making it possible to run extensive A/B testing experiments on their prompts. Uncover your highest performers with an unbiased rating experience.
Whether youâre ideating, building, or managing, GradientJ has the products and services for LLM teams trying to totally rethink the software we use everyday.
Turn prompts into powerful, custom and shareable AI models. Create powerful and shareable AI models. Extending human capabilities and experience with AI.