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.
To use Terracotta, follow these steps: 1. Sign in with your Google or GitHub account. 2. Upload your data to securely store it for model fine-tuning. 3. Fine-tune models on your data for classification and text generation. 4. Create evaluations by comparing model outputs using prompts for qualitative evaluation or evaluating on datasets with various metrics for quantitative evaluation.
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