KDnuggets

NOVEMBER 22, 2023

This week on KDnuggets: Learn how to perform data quality checks using pandas, from detecting missing records to outliers, inconsistent data entry and more • The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications (..)

Data Quality 229

Data Quality Database Algorithm AI 229

Hacker News

APRIL 9, 2024

Intel Gaudi 3 AI accelerator brings global enterprises choice for generative AI, building on the performance and scalability of its Gaudi 2 predecessor.

AI 181

AI AI 181

Data Science Dojo

FEBRUARY 27, 2024

Scalability Mistral Large: Offers different versions, including Mistral Small for lower latency and cost optimization 1. Performance on benchmarks Mistral Large: Claims to rank second after GPT-4 on commonly used benchmarks and only marginally outperforms offerings from Google and Meta under the MMLU benchmark 1.

AI 369

AI AI Artificial Intelligence Artificial Intelligence 369

Hacker News

MAY 4, 2024

How we built a performant, scalable, ACID-compliant, JavaScript-native database on FoundationDB.

Database 143

Database 143

Analytics Vidhya

AUGUST 18, 2023

Transformers‘ exceptional performance has been demonstrated in various tasks. Among these transformers, the Swin Transformer stands out as the backbone of computer vision, providing unparalleled flexibility and scalability to meet the demands of modern deep-learning models.

Deep Learning 258

Deep Learning Deep Learning Analytics Analytics 258

Data Science Dojo

MARCH 7, 2024

DeepLake: Open-Source Scalability and Speed DeepLake , an open-source powerhouse, excels in the efficient storage and retrieval of embeddings, prioritizing scalability and speed. With a distributed architecture and built-in support for horizontal scalability, DeepLake emerges as the preferred solution for managing vast NLP datasets.

Database 273

Database Machine Learning Machine Learning Natural Language Processing 273

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. Instead, it provides high-performance analytics, flexibility, and cost-effective scaling.

Analytics 280

Analytics Analytics Data Warehouse Data Engineering 280

KDnuggets

JUNE 16, 2022

Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

Power BI 286

Power BI Tableau Data Science 286

Hacker News

MARCH 18, 2024

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients. microsoft/garnet

Clustering 140

Clustering 140

Data Science Dojo

JULY 12, 2023

ACID properties for transactional support: SQL databases support ACID transactions, which guarantee that all or none of a set of database operations are performed. Ability to perform complex queries using SQL: SQL is a powerful language that allows you to perform complex queries on your data.

SQL 195

SQL Database Big Data Big Data 195

Data Science Dojo

JULY 6, 2023

Snowflake: Snowflake is a cloud-based data warehouse platform that provides high scalability, performance, and ease of use. Snowflake’s architecture separates storage and compute, enabling elastic scalability and cost-effective operations. It is known for its high performance and cost-effectiveness.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Analytics Vidhya

DECEMBER 25, 2022

Introduction Source: [link] As a developer, choosing the right database for your project is a crucial decision that can impact your project’s performance, scalability, and overall success. This article was published as a part of the Data Science Blogathon.

Database 264

Database Data Science Analytics Analytics 264

insideBIGDATA

JANUARY 28, 2023

Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids.

Natural Language Processing 186

Natural Language Processing Deep Learning Deep Learning AI 186

Analytics Vidhya

APRIL 26, 2022

Introduction on Apache Cassandra Apache Cassandra is a scalable database intended to manage massive volumes of data over many commodity computers while maintaining high availability and avoiding a unique failure point. It has high performance, and it is a NO-SQL database. Before understanding […].

SQL 252

SQL Database Data Science Analytics 252

Hacker News

NOVEMBER 28, 2023

Cloud TPUs on GKE offer the scalability, orchestration, and operational benefits of GKE while maintaining the leading price-performance of TPU.

AI 151

AI AI 151

Dataconomy

MAY 6, 2024

Advanced cloud GPU servers are designed to meet the high-performance demands of AI projects. These servers offer a scalable and flexible solution for companies looking to optimize AI projects without investing in costly on-premises infrastructure. Improved scalability is another benefit.

Machine Learning 113

Machine Learning Machine Learning AI AI 113

Analytics Vidhya

MAY 16, 2022

Introduction on Amazon Elasticsearch Service Amazon Elasticsearch Service is a powerful tool that allows you to perform a number of functions. The post Scalable Searching with Amazon Elasticsearch Service appeared first on Analytics Vidhya. Let us examine how this powerful tool works behind the scenes.

Data Science 269

Data Science Database Analytics Analytics 269

Analytics Vidhya

APRIL 21, 2023

Introduction Amazon-backed DynamoDB is a type of NoSQL database that offers exciting features like quick and highly predictable performance, high reliability over data, and seamless scalability. With the help of AWS DynamoDB, we can entrust the admin tasks associated with the distributed databases running and scaling.

AWS 280

AWS Database Analytics Analytics 280

Flipboard

DECEMBER 11, 2023

Evaluating scalability, functionality, performance, and compatibility with your use cases is vital. There is no universal ‘best’ vector database—the choice depends on your needs.

Database 133

Database Computer Science Computer Science Machine Learning 133

Analytics Vidhya

DECEMBER 20, 2022

Introduction Source: krzysztof-m from Pixabay Amazon Web Services (AWS) Simple Storage Service (S3) is a highly scalable, secure, and durable cloud storage service. The post How to Optimize the Performance of AWS S3? appeared first on Analytics Vidhya.

AWS 231

AWS Data Science Analytics Analytics 231

Data Science Dojo

AUGUST 28, 2023

From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. Model evaluation: Once the LLM is trained, it needs to be evaluated to see how well it performs. Model fine-tuning: If the LLM does not perform well, it can be fine-tuned. What is LLMOps?

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Data Science Dojo

MARCH 13, 2024

The type of task you want your app to perform is a crucial factor as different models capture specific aspects of data. Model characteristics The particular model characteristics of consideration include its accuracy, latency, and scalability. External evaluation It keeps track of the performance of embeddings in a specific task.

AI 221

AI AI Database Clustering 221

Flipboard

NOVEMBER 17, 2023

The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.

Database 128

Database Algorithm AI AI 128

Dataconomy

APRIL 24, 2024

Understanding proxy servers for SEO tools Proxy servers play a vital role in search engine optimization (SEO) by enabling marketers to gather data, perform keyword research, and automate tasks without being detected or blocked by search engines.

Algorithm 209

Algorithm 209

IBM Journey to AI blog

MARCH 27, 2024

As AI technology advances, the need for high-performance, cost-effective and easily deployable solutions reached unprecedented levels. This combination empowers developers to build highly scalable Java applications that deliver unparalleled performance, while substantially minimizing infrastructure expenses.

Clustering 104

Clustering Database SQL AWS 104

Dataconomy

FEBRUARY 26, 2024

Whether you’re in the process of developing web applications, mobile apps, or any other software solution, it’s crucial to recognize that performance and scalability are intertwined. What is performance testing? Does the application perform consistently over time? Optimizing database access is essential.

Database 113

Database Algorithm AI AI 113

Dataconomy

MARCH 18, 2024

Cerebras Systems unveils the Wafer Scale Engine 3 (WSE-3), touted as the world’s most advanced AI chip, powering the CS-3 AI supercomputer with a peak performance of 125 petaFLOPS. However, without benchmark testing, the actual performance in real-world applications remains speculative. TB to an expansive 1.2

AI 103

AI AI Clustering Artificial Intelligence 103

Data Science Dojo

MARCH 29, 2024

Read more: RAG and finetuning: A comprehensive guide to understanding the two approaches The Challenge of Bringing RAG-Based LLM Applications to Production Prototyping a RAG application is easy, but making it performant, robust, and scalable to a large knowledge corpus is hard.

Database 221

Database Clustering SQL Machine Learning 221

Hacker News

MARCH 1, 2024

In this role, you will be responsible for designing and implementing a scalable, high-performance web application that delivers exceptional user experiences. Your expertise in React.js, state management with MobX, and frontend performance optimization will be crucial in building applications that cater to millions of users. ?

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128

KDnuggets

JANUARY 6, 2020

This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.

Machine Learning 339

Machine Learning Machine Learning Python 339

Analytics Vidhya

SEPTEMBER 20, 2022

The post How do AWS S3 Buckets and Security Work? appeared first on Analytics Vidhya.

AWS 253

AWS Machine Learning Machine Learning Data Science 253

Dataversity

APRIL 17, 2024

In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance.

Database 75

Database 75

Data Science Dojo

MARCH 20, 2024

Let’s explore and address the RAG vs finetuning debate to determine the best tool to optimize LLM performance. Whether it’s adapting to dynamic information, customizing linguistic styles, managing data requirements, or ensuring domain-specific performance, each approach has its unique advantages.

AI 195

AI AI Database Artificial Intelligence 195

Hacker News

DECEMBER 10, 2023

This document describes the L4S architecture, which enables Internet applications to achieve low queuing latency, low congestion loss, and scalable throughput control. The aim is for L4S latency and throughput to be usually much better (and rarely worse) while typically not impacting Classic performance.

Algorithm 165

Algorithm 165

Towards AI

APRIL 22, 2024

The performance of the website is directly proportional to whether or not the developers have selected the right database to meet the needs and scales of the website operations 1. NoSQL Databases: Have been designed to be horizontally scalable so as to allow you distribute your data across multiple nodes effortlessly.

Database 83

Database SQL Clustering Big Data 83

Dataconomy

AUGUST 7, 2023

Several key features set AI databases apart from traditional databases: Scalability : AI databases are designed to scale horizontally and vertically, enabling them to handle the substantial amounts of data required for training complex models. These features make it particularly adept at handling high-speed data access requirements.

Database 168

Database AI AI ML 168

Dataconomy

MAY 16, 2023

They possess strong programming and engineering skills to develop scalable and efficient machine learning solutions. Machine learning engineers are responsible for taking data science concepts and transforming them into functional and scalable solutions.

Data Scientist 156

Data Scientist ML ML Machine Learning 156