Fireworks AI introduces an innovative feature called "Document Inlining" designed to solve the challenge of processing unstructured documents in various formats. This function can convert PDFs, screenshots, images, etc. into structured text that can be understood by large language models (LLM), thereby improving the efficiency and accuracy of AI document processing. The core of Document Inlining is a powerful composite AI system that can automatically identify and parse various elements in documents, including text, tables, charts and other complex elements, simplifying the AI understanding process of documents. It is simple to operate and compatible with OpenAI API. You only need to add a line of code to use it without additional learning costs.
Are you still worried about processing unstructured documents in various formats? Fireworks AI recently launched an innovative feature called "Document Inlining", which can convert unstructured documents such as PDFs, screenshots, images, etc. into large languages The structured text understandable by the model (LLM) provides directly usable text content for chatbots and AI models, greatly improving the efficiency and accuracy of AI document processing.
The core of Document Inlining lies in its powerful composite AI system, which can automatically identify and parse a variety of content in documents, including complex elements such as text, tables, charts, and nested layouts, allowing AI to understand these documents just like reading ordinary text. .
This tool is very simple to operate and requires no complicated setup. What’s even more surprising is that it is compatible with the OpenAI API. Users only need to add a line of code to the existing API to use the Document Inlining function in Fireworks without additional learning costs.
The advantages of Document Inlining are mainly reflected in the following aspects:
High quality output:
The text quality provided by Document Inlining can match or even exceed traditional text-based LLM output, especially in reasoning and generation tasks. Compared with visual language models (VLMs), LLM can generate more accurate and professional results after using Document Inlining converted text. This shows that structured text is easier to understand and utilize by LLM.
Multiple document formats supported:
Document Inlining successfully supports multiple document formats including PDF and images. For example, through testing, the tool can accurately extract the candidate's GPA and other academic information from PDF documents (such as resumes). The results show that the analysis is clear and accurate, fully proving its powerful document parsing capabilities.
Complex document parsing capabilities:
Document Inlining has powerful complex document parsing capabilities. Through testing, it was able to parse complex documents containing tables, charts and multiple paragraphs of text and successfully convert them into text understandable by LLM. This is a powerful tool for working with complex documents containing multiple information elements.
Official website: https://fireworks.ai/blog/document-inlining-launch#quality-evaluation
All in all, Fireworks AI’s Document Inlining feature provides a new solution for efficiently processing unstructured documents. Its high-quality output, multi-format support, and powerful parsing capabilities make it an ideal tool for processing complex documents. This tool simplifies the process of interaction between AI and documents, bringing significant efficiency improvements to various AI applications.