Want to know which LLM is best for accounting tasks?
This video introduces a cutting-edge Streamlit app that benchmarks large language models (LLMs) on accounting-specific questions using structured, expert-led rubrics. Whether you're an accounting firm, AI developer, or educator, this tool helps you evaluate clarity, accuracy, and completeness of AI-generated answers in a secure, local environment powered by Ollama.
🔍 Features Covered in the Video:
Benchmark multiple LLMs (LLaMA 3, Mistral, Gemma, etc.)
Generate domain-specific accounting questions (easy to advanced)
Score responses using structured rubrics and an evaluator model
Store and audit all results with SQLite
Visualize performance in real time via dashboards and cards
Ideal for model comparison, compliance testing, and fine-tuning
🛠️ Tech Stack:
Python 3.8+
Streamlit
Ollama (local LLM runtime)
SQLite
💼 Best for:
Accounting and audit firms evaluating AI
EdTech instructors and accounting educators
AI engineers benchmarking model performance
CPA and CFE teams ensuring AI compliance
🔗 Setup Guide:
Clone the repo
pip install -r requirements.txt
Start the Ollama server: ollama serve
Launch: streamlit run app.py
🎯 Ready to level up your accounting AI evaluations?
Watch the demo and explore the code to start benchmarking with confidence.
🔗: github.com/Jules04711/llm-accounting-eval
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