Research
Published
22 August 2024
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admin
I am now bringing you a Data Science in Marketing — Customer Base Segmentation (clustering) project. This is a high-level project that can be applied in any company that needs to understand the differences among its customers. Know that companies are eager 👹 to understand who their customers are. Or do you think all customers…
Stuck with complex Word documents? Need to analyse data but sick of manually copy pasting data points or tables into Excel spreadsheets? Your answer is probably yes, which is how you have landed here. While we agree that Microsoft Word is great for text-based documents, it is not specialised for maintaining records of data, analysing…
Introduction Retrieval-augmented generation (RAG) systems are transforming AI by enabling large language models (LLMs) to access and integrate information from external vector databases without needing fine-tuning. This approach allows LLMs to deliver accurate, up-to-date responses by dynamically retrieving the latest data, reducing computational costs, and improving real-time decision-making. For example, companies like JPMorgan Chase use…
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…