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,…
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…
In this entry (Part 1) we’ll introduce the basic concepts for face recognition and search, and implement a basic working solution purely in Python. At the end of the article you will be able to run arbitrary face search on the fly, locally on your own images. In Part 2 we’ll scale the learning of…
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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With the emergence of large language models, prompt engineering has become an essential skill. Put simply, prompting involves how humans interact with machines. Engineering the prompt suggests an effective way to communicate the requirement so that the machines’ responses are contextual, relevant, and accurate.
The Framework
The…
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…
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…
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):…
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).…
A couple of days ago, the New York Times published an article by Emma Goldberg asking, “Will AI Kill Meaningless Jobs?” Goldberg begins the article with a techno-optimist’s perspective, suggesting that when generative AI destroys opportunities for humans to work, it’s an ultimately of benefit to human workers, because the jobs that are replaced by…