Terracotta Features
Terracotta Features. Terracotta is a platform that allows users to experiment with Large Language Models (LLMs) quickly and intuitively. It enables users to manage, fine-tune, and evaluate multiple LLM models in one place. Users can securely store their data, fine-tune models for classification and text generation, and compare models qualitatively and quantitatively.
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'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.
