The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand long video sequences that contain extensive contextual information. Long-context understanding…
Research
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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…
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…
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…
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…
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…
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…
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…
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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…