ended5월 6일· 1 sources
Local LLMs Meet Personal Finance: Why Pre-Processing is Key to AI Accuracy
Ollama와 Qwen2.5로 해보는 개인 금융 분석, 로컬 AI의 가능성과 한계
Why it matters
This experiment highlights the growing viability of using Local LLMs for sensitive tasks like financial analysis, ensuring data privacy through tools like Ollama. It reveals a crucial insight: while LLMs are powerful for reasoning, they require pre-aggregated data to deliver accurate quantitative results, marking a shift toward hybrid data-processing workflows.
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Local LLMOllamaQwen2.5Personal FinanceData PrivacyDGX Spark