 What Businesses Should Know About Large Language Models Dec 13th 2023, 14:27, by Faraz Haider Large Language Models refer to a class of artificial intelligence models characterized by their ability to process and understand vast amounts of natural language data. These models are built upon deep learning techniques. They are trained on massive datasets to comprehend the nuances of language, enabling them to perform tasks such as text generation, comprehension, translation, and sentiment analysis. |  Getting Started With MyScale via Python Client Dec 13th 2023, 13:24, by Usama Jamil Data is at the heart of nearly every organization today. As data volumes continue to explode, companies must find ways to effectively store, process, and analyze their data. This has led to an explosion in the database market, with companies utilizing both traditional SQL databases as well as newer vector databases to accomplish different tasks. However, each type of database has tradeoffs. Traditional SQL databases offer consistency, accuracy, and ease of use for structured data, while vector databases are optimized for speed and scalability, especially with large volumes of unstructured data. But what if you don't have to choose? What if there was a database that gave you the best of both worlds? |  A Comprehensive Exploration of Automated vs. Manual Accessibility Testing Dec 13th 2023, 13:14, by Rahul Pandey In our previous post, Understanding the Importance of Digital Accessibility, we explored the factors driving the dramatic increase in focus and attention on web accessibility over the last few years by both users and companies. Today, web accessibility is no longer a choice but a necessity for companies. As such, accessibility testing is crucial in identifying and eliminating barriers that hinder users with disabilities from accessing and interacting with websites. While manual testing has been the traditional approach, automated testing has emerged as a valuable tool in recent years. This post delves into the strengths, weaknesses, and potential applications of automatic and manual accessibility testing. |  Transforming Research Data Management: The Role of AI in Empowering Developers Dec 13th 2023, 13:06, by Shugufta Salm In the ever-evolving landscape of technological advancements, Artificial Intelligence (AI) has emerged as a game-changer across various industries. One particularly transformative area is research data management, where AI is empowering developers to efficiently handle and derive insights from vast datasets. This article explores the ways in which AI has revolutionized research data management, making the lives of developers significantly more efficient and productive. Automated Data Processing One of the primary contributions of AI in research data management is its ability to automate data processing tasks. Developers are often tasked with handling massive volumes of data generated from experiments, surveys, and simulations. AI algorithms excel in automating repetitive tasks, such as data cleaning, normalization, and organization. This allows developers to focus their energy on higher-level tasks, such as data analysis and interpretation. |  These 37 Items Are Required for Magento 2 Launch Dec 13th 2023, 12:57, by Natvar Mistry More than one hundred thousand online stores are currently run on Magento 2. Do you have any plans to open a Magento 2 store? If so, you might be concerned about how to make sure everything goes smoothly. You should think about and pay attention to a number of important aspects in this regard. Therefore, we have created this comprehensive guide to help make things easier for you. Here, we'll provide you with a detailed list of everything you need for Magento 2 to go live that will help you launch your store. Let's get going. |  Shenandoah GC Tuning Dec 13th 2023, 12:13, by Ram Lakshmanan Shenandoah GC aims to reduce pause times in Java applications by performing garbage collection concurrently with the application threads. At the heart of Shenandoah's innovation is its region-based memory management. The heap is strategically divided into regions, allowing garbage collection to be conducted independently on these segments. This not only facilitates efficient parallelism but also contributes to achieving low-latency goals. In this post, we will explore techniques to tune Shenandoah GC specifically for enhanced performance. However, if you want to learn more basics, you may watch this Garbage Collection tuning talk delivered at the JAX London conference. How To Enable Shenandoah GC? Ensure that your Java version supports Shenandoah GC. Shenandoah is available in OpenJDK starting from version 11. You can also use commercial JDK distributions like Oracle JDK or AdoptOpenJDK. Launch your Java application with the following JVM argument to enable Shenandoah GC: |  Deploying GenAI Applications on Kubernetes: A Step-By-Step Guide Dec 13th 2023, 11:44, by Pavan Belagatti In today's fast-paced technological landscape, deploying AI/ML applications efficiently and effectively is paramount. Kubernetes, a powerful open-source platform, has emerged as a leading solution for managing and scaling containerized applications, ensuring they run seamlessly across various environments. In this comprehensive guide, we will walk you through the step-by-step process of deploying any AI/ML application on Kubernetes. From containerizing your application to setting up your Kubernetes cluster to deploying your AI/ML applications, this guide covers it. |  Accelerate Innovation by Shifting Left FinOps: Part 4 Dec 13th 2023, 11:39, by Sreekanth Iyer, Raghu Rajalingam We have understood the importance of cost models and how to create and refine cost models. In Part 3 of this series, we learned how to optimize our workload components, specifically cost optimization techniques for infrastructure. In this post, we will learn about the techniques for cost optimization of the application layer components(layer highlighted in blue). Key architecture components for a cloud-deployed workload. |  Introduction to Apache Doris: A Next-Generation Real-Time Data Warehouse Dec 13th 2023, 11:38, by Frank Z What Is Apache Doris? Apache Doris is an open-source, real-time data warehouse. It can collect data from various data sources, including relational databases (MySQL, PostgreSQL, SQL Server, Oracle, etc.), logs, and time series data from IoT devices. It is capable of reporting, ad-hoc analysis, federated queries, and log analysis, so it can be used to support dashboarding, self-service BI, A/B testing, user behavior analysis, and the like. Apache Doris supports both batch import and stream writing. It can be well integrated with Apache Spark, Apache Hive, Apache Flink, Airbyte, DBT, and Fivetran. It can also connect to data lakes such as Apache Hive, Apache Hudi, Apache Iceberg, Delta Lake, and Apache Paimon. |  Transactional Analytics: Unlocking Insights for Informed Lending Decisions Dec 13th 2023, 11:08, by Ivan Popov In the world of finance, a revolution is quietly taking place, and it is all about transactional analytics. This approach is transforming the way financial institutions operate, particularly in lending. By using the vast troves of data concealed within everyday transactions, transactional analytics is challenging traditional credit assessments and paving the way for a new era of financial inclusivity and efficiency. In the past, banks predominantly relied on conventional data sources for credit decisions. However, the recent shockwaves of the global pandemic have exposed the limitations of these traditional models. The modern credit landscape necessitates a more dynamic approach to decision-making, capable of adapting to unforeseen challenges and incorporating a more comprehensive array of insights. Transaction data, once the exclusive purview of banks and payment systems, has become accessible to a broader range of stakeholders through the advent of Open Banking. This accessibility extends lending opportunities to an estimated three billion adults worldwide who lack credit records, fostering the growth of financial inclusion. | |
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