- Addis Ababa, Ethiopia
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rag-with-phi-2-and-langchain
rag-with-phi-2-and-langchain PublicRetrieval Augmented Generation demo using Microsoft's phi-2 LLM and langchain
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amharic-news-category-classification
amharic-news-category-classification Publicnotebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library
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prod-rag-with-gemini-pro-and-pinecone
prod-rag-with-gemini-pro-and-pinecone PublicGemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
Jupyter Notebook 2
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movies-django-backend
movies-django-backend PublicWelcome to the Movies API built using the Django Rest Framework.
JavaScript
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prod-rag-with-gpt-3_5-turbo-and-mongodb-atlas
prod-rag-with-gpt-3_5-turbo-and-mongodb-atlas PublicGPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
Jupyter Notebook 1
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movies-react-frontend
movies-react-frontend PublicWelcome to the Movies website built using React.
JavaScript
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