Databricks' dolly-v2-12b vs Terracotta

Databricks introduces dolly-v2-12b, an inventive language model providing high-quality, instruction-following capabilities. This 12-billion-parameter model is built on Pythia-12b, yielding exceptional performance, not inherent in its foundational model. Dolly-v2-12b is optimized for commercial use, having been fine-tuned on a diverse mix of instructions covering areas like brainstorming, classification, and summarization. While it may not be at the forefront of AI models, its proficiency in instruction adherence is remarkable. Available in varying sizes, dolly-v2-12b is complemented by the smaller dolly-v2-7b and dolly-v2-3b models. Users can leverage this model easily with Transformers and PyTorch using the Hugging Face platform, tapping into the practical insights and extensive dataset, databricks-dolly-15k, to power their AI applications.

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.