Marian vs Terracotta

Marian is a cutting-edge Neural Machine Translation (NMT) framework designed for speed and efficiency in research and production environments. Engineered entirely in C++, it features a self-contained architecture with an integrated automatic differentiation engine that leverages dynamic computation graphs. This design fosters flexibility and rapid experimentation, accommodating a wide array of NMT models including the encoder-decoder framework. Notably, Marian has been optimized to deliver remarkable training and translation speeds while maintaining accessibility and ease of use for researchers in the computational linguistics domain.

Terracotta is a cutting-edge platform designed to enhance the workflow for developers and researchers working with large language models (LLMs). This intuitive and user-friendly platform allows you to manage, iterate, and evaluate your fine-tuned models with ease. With Terracotta, you can securely upload data, fine-tune models for various tasks like classification and text generation, and create comprehensive evaluations to compare model performance using both qualitative and quantitative metrics. Our tool supports connections to major providers like OpenAI and Cohere, ensuring you have access to a broad range of LLM capabilities. Terracotta is the creation of Beri Kohen and Lucas Pauker, AI enthusiasts and Stanford graduates, who are dedicated to advancing LLM development. Join our email list to stay informed on the latest updates and features that Terracotta has to offer.