Galactica vs Terracotta

Galactica is an advanced large language model specifically designed to handle the complexities of scientific knowledge. Its ability to store, combine, and reason about vast amounts of scientific information makes it an invaluable resource to overcome the challenges of information overload in the science community. Developed by a team led by Ross Taylor, Marcin Kardas, and several other contributors, Galactica stands out with its superior performance on a variety of scientific tasks.

By outperforming existing models such as GPT-3 on technical knowledge probes and Chinchilla on mathematical MMLU, Galactica has shown potential to serve as a potent new interface for scientific exploration and discovery. Notably, Galactica has achieved state-of-the-art results on downstream tasks such as PubMedQA and MedMCQA dev, substantiating its value addition to the scientific community. The model is open-sourced, encouraging broad usage and contribution among researchers and institutions globally.

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.