Terra Cotta AI

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What is Terra Cotta AI?

Terracotta is an intuitive platform designed to accelerate the development workflow of large language models (LLMs). Log in using your Google or GitHub account and manage all your models in one place via an intuitive interface.

Features

  • Manage Multiple Models: Terracotta's platform allows users to manage all their fine-tuned models from a single place, enhancing organization and efficiency.
  • Iterative Capability: Improve models with easy qualitative and quantitative evaluation. Experience real-time iteration for enhancing the quality of your models.
  • Multiple Providers: Connect seamlessly with multiple providers including OpenAI and Cohere. Expand your LLM potential with multiple platform connections.
  • Secure Data Storage: Use Terracotta to securely store your data for future fine-tuning of a model. Good models stem from good data.
  • Effortless Fine-Tuning: Straightforward, click-based process to fine-tune models on your data for both classification and text generation.
  • Comprehensive Evaluations: Perform qualitative and quantitative evaluations using various metrics such as accuracy, BLEU score, and confusion matrices.

Use Cases:

  • LLM Development and Management: Utilize Terracotta for developing, fine-tuning and managing numerous large language models in one single place.
  • Model Evaluation: Leverage Terracotta for combined qualitative and quantitative evaluations of your LLMs, making model improvements simpler and more directed.
  • Multi-Platform Compatibility: Take advantage of Terracotta's connectivity features to link with multiple AI platforms such as OpenAI and Cohere.
  • Data Security: Ensure your data security while experimenting with LLMs using Terracotta's secure data storage function.

Terracotta is a reliable, efficient, and user-friendly platform for LLM developers seeking to enhance their workflow, model management, and evaluation processes. It provides seamless connectivity to multiple platforms, facilitating an all-in-one solution for LLM development and improvement.