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  • Addis Ababa, Ethiopia

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  1. rag-with-phi-2-and-langchain rag-with-phi-2-and-langchain Public

    Retrieval Augmented Generation demo using Microsoft's phi-2 LLM and langchain

    Python 15 2

  2. amharic-news-category-classification amharic-news-category-classification Public

    notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library

    Jupyter Notebook 9 4

  3. prod-rag-with-gemini-pro-and-pinecone prod-rag-with-gemini-pro-and-pinecone Public

    Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex

    Jupyter Notebook 3

  4. movies-django-backend movies-django-backend Public

    Welcome to the Movies API built using the Django Rest Framework.

    JavaScript

  5. phi-2-instruct phi-2-instruct Public

    Notebooks to create an instruction following version of Microsoft's Phi 2 LLM with Supervised Fine Tuning and Direct Preference Optimization (DPO)

    Jupyter Notebook 2

  6. prod-rag-with-gpt-3_5-turbo-and-mongodb-atlas prod-rag-with-gpt-3_5-turbo-and-mongodb-atlas Public

    GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex

    Jupyter Notebook 1