What is Terracotta?
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 Tags
How to use Terracotta?
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.
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.
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.
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.
