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Terracotta

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Manage multiple fine-tuned models, evaluate performance using qualitative and quantitative features, securely upload data for fine-tuning.
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Terracotta Features

Terracotta is a user-friendly platform designed to simplify the process of experimenting with Large Language Models (LLMs). It offers a range of essential features that optimize LLM performance and accelerate model development.

Key Features:
– Effortlessly manage and optimize multiple fine-tuned models for rapid iteration.
– Perform in-depth evaluation of model outputs using various qualitative and quantitative metrics.
– Ensure data security when uploading data for fine-tuning purposes.
– Connect and collaborate seamlessly with popular LLM providers like OpenAI and Cohere.
– Start the fine-tuning process with just a few clicks.

Use Cases:
– Optimize and experiment with Large Language Models for various tasks.
– Conduct in-depth evaluations to improve LLM performance in research and development.
– Fine-tune LLMs for classification and text generation applications for AI enthusiasts and developers.

Terracotta revolutionizes LLM experimentation, providing accessibility, efficiency, and security for users in different domains. With its comprehensive set of features, Terracotta empowers researchers and developers to fully utilize the potential of Large Language Models and drive advancements in AI.

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