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Nanonets Partners with Sage Intacct: Automate AP / AR

Nanonets makes financial workflows more efficient with AI-driven automation, enabling businesses on Sage Intacct to automate manual finance tasks confidently and securely.San Francisco, 19 August 2024—Nanonets, a pioneer in AI-driven financial automation solutions, has become a marketplace partner with Sage Intacct, a leader in cloud financial management software. This collaboration aims to transform financial workflows,…

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Automate Insurance Claims Processing: Best Tools in 2024

Tedious paperwork and long wait times are every person's worst insurance nightmare. But insurance claim automation is paving the way for faster, more accurate, and more customer-friendly experiences. The drive to enhance claims processing through new technologies has intensified, especially since every dollar saved directly impacts profitability. The pandemic further accelerated this shift, rapidly pushing…

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Optimizing Packaging Line Efficiency With AI-Powered Automation Aiiot Talk

With consumer demand climbing, regulations tightening and the cost of doing business rising, facilities must optimize their packaging line efficiency or face losing to their competition. Could automation powered by artificial intelligence be the solution they’re searching for? Why Facilities Need to Optimize Packaging Lines Online shopping’s popularity surged exceptionally high during COVID-19. While…

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UniBench: A Python Library to Evaluate Vision-Language Models VLMs Robustness Across Diverse Benchmarks

Vision-language models (VLMs) have gained significant attention due to their ability to handle various multimodal tasks. However, the rapid proliferation of benchmarks for evaluating these models has created a complex and fragmented landscape. This situation poses several challenges for researchers. Implementing protocols for numerous benchmarks is time-consuming, and interpreting results across multiple evaluation metrics becomes…

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The Evolution of SQL. Unlocking the power of large language… | by 💡Mike Shakhomirov | Aug, 2024

Unlocking the power of large language models Photo by ZHENYU LUO on UnsplashIn this article, I will examine how large language models (LLMs) can convert natural language into SQL, making query writing more accessible to non-technical users. The discussion will include practical examples that showcase the ease of developing LLM-based solutions. We’ll also cover various…

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Retrieval-Augmented Generation Workflows

Introduction Retrieval Augmented Generation, or RAG, is a mechanism that helps large language models (LLMs) like GPT become more useful and knowledgeable by pulling in information from a store of useful data, much like fetching a book from a library. Here’s how retrieval augmented generation makes magic with simple AI workflows: Knowledge Base (Input):…

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What is Retrieval-Augmented Generation?

In the AI space, where technological development is happening at a rapid pace, Retrieval Augmented Generation, or RAG, is a game-changer. But what is RAG, and why does it hold such importance in the present AI and natural language processing (NLP) world? Before answering that question, let's briefly talk about Large Language Models (LLMs).…

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