1 min readfrom Towards Data Science

I Built the Same B2B Document Extractor Twice: Rules vs. LLM

I Built the Same B2B Document Extractor Twice: Rules vs. LLM

A practical comparison between rule-based PDF extraction using pytesseract and an LLM-based approach with Ollama and LLaMA 3, based on a realistic B2B order scenario.

The post I Built the Same B2B Document Extractor Twice: Rules vs. LLM appeared first on Towards Data Science.

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#cloud-based spreadsheet applications
#big data management in spreadsheets
#generative AI for data analysis
#conversational data analysis
#rows.com
#Excel alternatives for data analysis
#real-time data collaboration
#financial modeling with spreadsheets
#intelligent data visualization
#data visualization tools
#enterprise data management
#big data performance
#data analysis tools
#data cleaning solutions
#B2B
#Document Extractor
#PDF extraction
#LLM
#rule-based
#pytesseract