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Document Inlining

Utilize composite AI technology to process documents inline and bridge modal gaps.

#LLM
#Document processing
#visual model
#Automated process
#Composite AI
Document Inlining

Product Details

Document Inlining is a composite AI system launched by Fireworks AI that can convert any large language model (LLM) into a visual model to process images or PDF documents. This technology enables logical reasoning by building an automated process to convert any digital asset format into an LLM-compatible format. Document Inlining provides higher quality, input flexibility and ultra-simple usage by parsing images and PDFs and inputting them directly into the LLM of the user's choice. It solves the limitations of traditional LLM in processing non-text data, improves the quality of text model inference through specialized component decomposition tasks, and simplifies the developer experience.

Main Features

1
High Quality - Leverage any LLM or specialized/fine-tuned model for better inference and generation capabilities.
2
Input Flexibility - Automatically convert multiple file types such as PDFs and screenshots, as well as handle rich document structures including tables/charts.
3
Super easy to use - our API is OpenAI compatible, just edit a line of code to enable this feature.
4
Complete OCR - a proprietary parsing service capable of parsing tables and charts, improving LLM reasoning capabilities.
5
Document Structuring - Supports PDF and multi-image input while retaining the original structure of the file.
6
Pipeline Management - Skip transcription for previously viewed content, avoid duplication of transcription, improve performance and reduce costs.
7
Model flexibility - any LLM can be used, including fine-tuned and professional models.

How to Use

1
1. Visit the Fireworks AI documentation page to learn how to use Document Inlining.
2
2. When using Document Inlining, just add '#transform=inline' to the file URL when calling LLM's API.
3
3. With one line of code editing, any LLM can be converted into a visual model capable of processing images or PDF documents.
4
4. Use document data processed by Document Inlining to conduct deeper logical reasoning and data analysis.
5
5. Monitor and evaluate the quality of results after using Document Inlining, and adjust model parameters as needed.
6
6. Use the UI playground provided by Fireworks AI for practical operations and become familiar with the Document Inlining workflow.

Target Users

The target audience is enterprises and developers who need to process large amounts of document data, especially those who need to extract information and perform logical reasoning from non-text formats such as images and PDFs. Document Inlining simplifies this complex process through automated processes, allowing users to easily convert non-text data into a format that LLM can understand, thereby improving work efficiency and data processing quality.

Examples

Extract candidate's bachelor's and master's GPA from PDF resume.

Convert complex documents containing tables and charts into structured text for use in LLM inference.

Process multi-page PDF documents without sacrificing the original structure of the document.

Quick Access

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› Development and Tools

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