Advanced Structured Data Processing in Sparrow

I added instruction and validation functionality into Sparrow. This allows to process business logic with document data directly through Sparrow query. For example, it allows to check if given fields are present in the document.

 

My Experience with PyCharm AI Assistant

Explaining my experience with PyCharm AI Assistant. Showing example how code changes can be reviewed one by one, before they are accepted into your codebase.

 

Financial Table Structure Analysis with Computer Vision

Explaining new functionality I'm implementing in Sparrow to pre-process tables with grid structure. This greatly improves table data extraction by Vision LLMs. 

 

PaddleOCR 3.1 Setup in FastAPI

I explain how to run PaddleOCR 3.1 from FastAPI app.

 

Structured Data Query with Sparrow AI Agent

Sparrow comes with option to extract stuctured data with query. In this video I explain how you can define such query to fetch array and field data.

 

Vision LLM with MLX: Extracting Electric Meter Data in Production

In this video, I share my experience using the MLX backend to run Vision LLM (with MLX-VLM) for structured data extraction in a production environment. See how I used Sparrow to accurately read electric meter data and learn practical tips for deploying similar solutions. 

 

Solving Upwork Client Task with Sparrow

I show how Sparrow can be used to handle complex Upwork task, with accurate table data extraction. Key requirement is to prevent Vision LLM hallucinations, this is achieved by Sparrow hybrid data processing approach.