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RAG system for advanced document search at large enterprises
Navigating company internal documentation with smart search and retrieval augmented generation systems.
Retrieval Augmented Generation (RAG) systems, may be the game-changer, reshaping how corporations tackle industry complexities. Modulai, positioned at the forefront, has forged strategic partnerships in finance and manufacturing, tailoring RAG solutions to meet the unique demands of large enterprises.
Read moreFinetuning GPT3.5 – Rick Sanchez
Large Language Models (LLMs) have taken the world by storm. Most prominent among them, Chat-GPT has disrupted our daily and professional lives. From high-school essays to creative writing, coding, and journalism, we must embrace AI writing assistants’ advancement. While prompt engineering often helps align the output of these models to specific tasks, it can sometimes fall short, particularly when trying to follow a certain style or tone.
Read moreFew-shot information extraction from PDF documents
Text field extraction in unstructured PDF:s using LLM's
A lot of data comes in the form of unstructured text documents. Some examples are invoices, offers, and product data assets such as technical information & manuals. To make this data available for analysis, we often want to extract the textual information in the document and convert it to a structured format. In this post, we will take a look at how LLMs with few-shot prompting can accelerate this process.
Read moreEmpowering Journalists at SvD with AI Tools for Podcast Analysis
While podcasts offer a convenient and accessible media format for on-the-go consumption, they can present significant challenges when it comes to searching and analysing content, especially compared to traditional text-based media such as news articles and interviews.
In this blog post, we’ll explore the ways in which AI can be used to analyse podcasts and how AI can empower journalists.
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