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@@ -17,8 +17,8 @@ In this iteration, I've **replaced Falcon 7B Instruct** with the **currently-SoT
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  fine-tuned using **Unsloth** on financial questions and answers generated with the help of GPT-4, quantized \
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  and augmented with a 4bit QLoRa. \
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  \
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- Prompt analysis and model registry is handled by **Comet LLM**, and finance news is pulled via an **Alpaca API**, processed \
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- by **Bytewax**, and then sent as a vector embedding to **Qdrant**'s serverless vector store. **LangChain** chains the prompt and \
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  most relevant news article to provide answers with real-time finance information embedded within the output. \
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  \
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  **#TODO:** Add citations to output to show end-user which article has been used to generate the output.
 
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  fine-tuned using **Unsloth** on financial questions and answers generated with the help of GPT-4, quantized \
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  and augmented with a 4bit QLoRa. \
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  \
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+ Prompt analysis and model registry is handled by **Comet LLM**, and finance news is streamed via **Bytewax** using an \
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+ **Alpaca API**, and then sent as a vector embedding to **Qdrant**'s serverless vector store. **LangChain** chains the prompt and \
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  most relevant news article to provide answers with real-time finance information embedded within the output. \
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  \
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  **#TODO:** Add citations to output to show end-user which article has been used to generate the output.