Andrej Baranovskij Blog
Blog about Oracle, Full Stack, Machine Learning and Cloud
Tuesday, December 17, 2024
Streamlined Table Data Extraction with Sparrow | Table Transformer, Qwen2 VL, MLX, & Mac Mini M4 Pro
Learn how to streamline table data extraction with Sparrow, Table Transformer, Qwen2 VL, and MLX on the Mac Mini M4 Pro. Simplify your workflow and get accurate results!
Monday, December 9, 2024
Structured Output from Multipage PDF with Sparrow (Qwen2 Vision LLM and MLX)
I explain how multipage PDFs are handled in Sparrow to extract structured data in a single call.
Tuesday, December 3, 2024
Sparrow Apple MLX Backend on Mac Mini M4 (Qwen2 72B 4bit)
I show how I’m running the Qwen2 72B 4bit model locally on a Mac Mini M4 for Sparrow’s backend. MLX (and MLX-VLM) is the main platform I’m using for local data extraction in Sparrow.
Monday, November 25, 2024
Batch Inference with Qwen2 Vision LLM (Sparrow)
I'm explaining several hints how to optimize Qwen2 Visual LLM performance for batch processing.
Sunday, November 17, 2024
Visual LLM Structured Output Validation with Sparrow
I explain how Sparrow validates the structured output of visual LLMs to ensure it complies with the JSON schema provided in the query. This process helps prevent errors and hallucinations generated by the LLM.
Sunday, November 10, 2024
Extracting Financial Market Stock Data from Images with Vision LLM
In this video, I demonstrate how to extract financial market stock data from images using the powerful Vision LLM Qwen2, all within a Gradio interface. This setup allows quick and easy extraction of key stock stats from screenshots and other image-based data sources—perfect for analysts, traders, and finance enthusiasts looking to streamline data processing. Watch to see how this AI tool can simplify your workflow and make stock data analysis faster and more efficient!
Monday, November 4, 2024
Structured Output Example with Sparrow UI Shell
Structured output is all you need. I deployed a Sparrow demo UI with Gradio to demonstrate the output Sparrow can produce by running a JSON schema query. You can see examples for the Bonds table, Lab results, and Bank statement.
Labels:
Machine Learning,
OCR,
VisionLLM
Subscribe to:
Posts (Atom)