Order capture is the process of receiving, validating, and recording customer orders from across channels to facilitate efficient fulfillment. A smoother capture process often means a faster order-to-cash cycle, fewer mistakes, and happier customers. Yet, McKinsey's 2023 supply chain survey showed that nearly half of the respondents had not consistently invested in the digital supply…
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Text analysis tasks have been around for some time as the needs are always there. Research has come a long way, from simple description statistics to text classification and advanced text generation. With the addition of the Large Language Model in our arsenal, our working tasks become even…
Addressing the challenge of efficient and controllable image synthesis, the Alibaba research team introduces a novel framework in their recent paper. The central problem revolves around the need for a method that generates high-quality images and allows precise control over the synthesis process, accommodating diverse conditional inputs. The existing methods in image synthesis, such as…
Researchers are on a quest to develop enzymes that can break down plastics so they can be 100% recycled The world produces about 400 million tonnes of plastic waste each year. Much of it ends up in landfills, and a significant portion is polluting the world’s oceans. Yet even when plastic is recycled, the process…
Photo by Yancy Min on UnsplashA hands-on guide for adding a motivational GitHub action to your repository I’ll start with a confession: as a software engineer, I hated and avoided writing tests for years. I came across so many dusty projects — some with no tests at all, others that had tests but those had…
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Tired of applying to data science roles and not hearing back from companies? Perhaps you managed to land a couple of interviews but weren't able to convert them to offers? Well, you’re not alone.
The job market is brutally competitive now. So just because it's difficult doesn't mean you're not…
With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. Though these models have successfully demonstrated incredible performance in tasks like content generation and question answering, there are still certain challenges in answering complicated, open-ended queries that necessitate interaction with other tools or APIs.
Outcome-based systems, where…
With the help of AlphaFold, researchers are designing more effective drugs like never before Karen Akinsanya is President of R&D, Therapeutics, at Schrödinger in New York City. She shares her AlphaFold story. What has always captivated me is the idea that you can go from the bench to the bedside. I have worked in academia…
Splitting text, the simple way (Image generated by author w. Dall-E 3)When preparing data for embedding and retrieval in a RAG system, splitting the text into appropriately sized chunks is crucial. This process is guided by two main factors, Model Constraints and Retrieval Effectiveness. Model Constraints Embedding models have a maximum token length for input;…
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As we stand on the threshold of a new year, the opportunity to delve into the dynamic world of data science has never been more…