mirabdullahyaser/LLaMA3-Financial-Analyst
LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.
This system helps financial analysts quickly get answers to complex questions about public companies. You input your specific financial questions, and it delivers accurate answers by analyzing real-time SEC 10-K filings, specifically focusing on Risk Factors and Management's Discussion & Analysis. Financial analysts, researchers, and investors would use this to save time searching through extensive regulatory documents.
No commits in the last 6 months.
Use this if you need fast, contextually accurate answers to financial questions sourced directly from SEC 10-K filings, without manually sifting through thousands of pages.
Not ideal if your analysis requires data beyond SEC 10-K filings or if you prefer manual, in-depth document review over AI-powered summaries.
Stars
14
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 09, 2025
Commits (30d)
0
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