Features
- Manage Multiple Models: Effortlessly manage all your fine-tuned models from a unified platform, enhancing organizational efficiency and workflow.
- Iterative Capability: Enhance your models through easy qualitative and quantitative evaluation. Experience real-time iteration to elevate the quality of your models.
- Multiple Providers: Connect seamlessly with multiple providers, including OpenAI and Cohere. Expand the potential of your LLMs with versatile platform connections.
- Secure Data Storage: Utilize Terracotta to securely store your data for future fine-tuning of models. Quality models stem from secure and reliable data storage.
- Effortless Fine-Tuning: Initiate a straightforward, click-based process to fine-tune models on your data, catering to both classification and text generation needs.
- Comprehensive Evaluations: Conduct qualitative and quantitative evaluations using various metrics such as accuracy, BLEU score, and confusion matrices for a thorough understanding of model performance.
Use Cases:
- LLM Development and Management: Utilize Terracotta as your all-in-one platform for developing, fine-tuning, and managing numerous large language models efficiently.
- Model Evaluation: Leverage Terracotta for combined qualitative and quantitative evaluations of your LLMs, simplifying and directing improvements.
- Multi-Platform Compatibility: Take advantage of Terracotta’s seamless connectivity features to link with multiple AI platforms such as OpenAI and Cohere.
- Data Security: Ensure the security of your data while experimenting with LLMs using Terracotta’s reliable and secure data storage function.
Terracotta stands as a reliable, efficient, and user-friendly platform for LLM developers seeking to enhance their workflow, model management, and evaluation processes. With seamless connectivity to multiple platforms, Terracotta provides an all-in-one solution for LLM development and improvement.