Implement LangChain for Sentiment and Entity Extraction with Yi-34B

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Prompt Content

Using LangChain, implement a pipeline that leverages the Yi-34B model to perform sentiment analysis and entity extraction (e.g., identifying companies, minerals, and countries mentioned) on the preprocessed news articles. Describe your prompt engineering strategy for Yi-34B to ensure accurate and relevant information extraction. How will you integrate the extracted insights (e.g., sentiment scores, key events) as features for your predictive model?

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