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Document Inlining
Overview :
Document Inlining is a composite AI system launched by Fireworks AI that transforms any large language model (LLM) into a visual model to handle images or PDF documents. This technology utilizes automated processes to convert any digital asset format into an LLM-compatible format, enabling logical reasoning. Document Inlining parses images and PDFs directly into the chosen LLM, offering improved quality, input flexibility, and an exceptionally simple user experience. It addresses the limitations of traditional LLMs when handling non-text data by breaking tasks down into specialized components, enhancing the quality of textual model reasoning while simplifying the developer experience.
Target Users :
The target audience includes enterprises and developers that handle large amounts of document data, especially those requiring information extraction and logical reasoning from non-text formats such as images and PDFs. Document Inlining simplifies this complex process through automation, enabling users to easily convert non-text data into a format comprehensible by LLMs, thereby enhancing workflow efficiency and data processing quality.
Use Cases
Extract the bachelor's and master's GPA of candidates from their PDF resumes.
Convert complex documents containing tables and graphs into structured text for LLM reasoning.
Process multi-page PDF documents without compromising their original structure.
Features
High Quality - Achieve better reasoning and generation capabilities using any LLM or specialized/fine-tuned models.
Input Flexibility - Automatically converts a variety of file types, such as PDFs and screenshots, and can handle rich document structures containing tables/graphs.
Extremely Simple to Use - Our API is compatible with OpenAI; just edit a single line of code to enable this feature.
Complete OCR - Our proprietary parsing service can interpret tables and graphs, enhancing LLM reasoning capabilities.
Document Structuring - Supports multi-image and PDF inputs while preserving the original structure of the files.
Pipeline Management - Skips transcription for previously viewed content to avoid duplicate transcriptions, improving performance and reducing costs.
Model Flexibility - Can utilize any LLM, including fine-tuned and specialized models.
How to Use
1. Visit the Fireworks AI documentation page to learn about the specific usage of Document Inlining.
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2. When using Document Inlining, simply append '#transform=inline' to the file URL when calling the LLM's API.
3. With a single line of code, convert any LLM into a visual model capable of handling images or PDF documents.
4. Utilize the processed document data from Document Inlining for deeper logical reasoning and data analysis.
5. Monitor and evaluate the quality of the results obtained with Document Inlining, adjusting model parameters as needed.
6. Use the UI playground provided by Fireworks AI for hands-on practice and to familiarize yourself with the Document Inlining workflow.
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