Exploring Particle Physics Simulations in Python Editors note: At New Math Data we strive to regularly push the envelope, test our skills, and generally innovate, in addition to a deep commitment to our more traditional practices such as analytics and data warehousing. It is in that spirit that we present this article, an experiment in […]
Introducing MediStruct AI Transcription Tool Introduction Transcribing and organizing patient visit notes is a time-consuming process that can lead to errors and inefficiencies. Enter MediStruct, an AI-powered solution designed to automate the extraction of structured data from patient notes. By leveraging cutting-edge generative AI, MediStruct simplifies the transformation of free-form text into organized, structured records. […]
Detailing Python 3.12.4 Release Updates Introduction With the release of Python 3.12.4 in June 2024, the Python community welcomes an array of exciting new features and critical fixes. This version is packed with enhancements that improve security, performance, and usability, solidifying Python’s reputation as a powerful and versatile programming language. Whether you’re a seasoned developer […]
Exploring the Path to Leadership in the Evolving Field of Cloud Data Engineering Introduction The field of cloud data engineering is rapidly evolving, driven by the relentless pace of technological advancements and the increasing reliance on data-driven decision-making. As organizations continue to migrate their operations and data storage to cloud platforms, the demand for skilled […]
Exploring the integration of generative AI in data engineering and its ethical implications. Introduction The integration of generative AI into data engineering marks a significant evolution in the way data ecosystems are managed and utilized. As these advanced technologies take on more complex tasks traditionally performed by humans, they bring forth not only enhanced efficiency […]
Introduction In this blog post we will introduce vector databases and some of the algorithms used for indexing and show examples of how to work with AWS OpenSearch vector database using python and LangChain library. Vector databases A vector database is a type of database that stores high-dimensional vectors for fast retrieval and similarity search. […]
· The role of large language models in creating knowledge graphs from unstructured data. · Comparison of Top Models · Storage Platforms for Knowledge Graphs · Practical Example: Knowledge Graph from Wikipedia Text · Best Practices and Tips for Using Large Language Models in Knowledge Graph Creation · Conclusion In the vast realm of data, […]