LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS and is H2O.AI LLM studio inspired design. It has just the front end components with hardcoded data and no backend integration yet.
LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS and is Snowflake inspired design. It has just the front end components with hardcoded data and no backend integration yet.
LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS and is H2O.AI LLM studio inspired design. It has just the front end components with hardcoded data and no backend integration yet.
This project evaluates the performance of large language models (LLMs) on the Text-to-SQL task using the Cantus Database, a specialized collection of metadata on Latin chants. In our work, we demonstrate how LLMs can handle domain-specific queries through prompt engineering without fine-tuning.
Add a description, image, and links to the llm-model-evaluation topic page so that developers can more easily learn about it.
To associate your repository with the llm-model-evaluation topic, visit your repo's landing page and select "manage topics."