Skip to content Skip to sidebar Skip to footer

Streamline order capture for efficient order management

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…

Read More

This AI Paper from Alibaba Unveils SCEdit: Revolutionizing Image Diffusion Models with Skip Connection Tuning for Enhanced Text-to-Image Generation

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…

Read More

Google Researchers Unveil ReAct-Style LLM Agent: A Leap Forward in AI for Complex Question-Answering with Continuous Self-Improvement

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…

Read More

Beyond English: Implementing a multilingual RAG solution | by Jesper Alkestrup | Dec, 2023

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;…

Read More