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emegira's Introduction

Emegira Project Prototype

The name for this project derives from my creative interpretation of the literal translation for the Sumerian word for the Sumerian Language : 𒅴𒂠 (Emeg̃ir), meaning "Native Tongue."

Goal:

Create an LLM Language Learning tool that enables users to streamline their language acquistion process.

Topics to Explore:

RAG (include custom notes), DDL (Data Driven Learning) with Corpora, Lesson Planning, Prompting Custom Study Goals to an LLM

Roadmap:

  • Use this Github page to track/add resources, progress, and sucesses. Ideally will be able to expand to other different languages and streamline the task for other users. I'll start with learning Chinese for taking the HSK 4 test as a starting point.

  • Ollama facilitates local open-source LLM deployment and hosts Yi (https://ollama.com/library/yi), which is a series of large language models trained on a high-quality corpus of 3 trillion tokens that support both the English and Chinese languages.

Progress:

5/17/24: Successfully modified code template from Youtuber Shaw Talebi for this use case. Will post finished notebook of progress in notebooks folder when ready. Will probably make Discord server soon to track these changes.

Data Sources:

Available for viewing in rag_sources.txt file.

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