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tigerlab-ai · Nov 2, 2023 · 0317494 · 0317494
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 ## 🔬 Tech stack
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 - **TigerRag**: Use embeddings-based retrieval (EBR), retrieval-augmented generation (RAG), and generation-augmented retrieval (GAR) to fulfill search queries. The demo used `BERT` for embedding, `FAISS` for indexing, `text-davinci-003` for generation.
 - **TigerTune**: Python SDK to finetune, make inference, and evaluate Text Generation models and Text Classification models. The notebook demo finetuned `Llama2` and `DistilBERT`.