KDnuggets

APRIL 11, 2023

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

Machine Learning 159

Machine Learning Python Data Science Programming 159

databricks

APRIL 11, 2023

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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145

Scott Logic

APRIL 11, 2023

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.

Datasets 99

Datasets Architecture Process Accessible 99

LinkedIn Engineering

APRIL 11, 2023

Authors: Karthik Ramgopal and Aman Gupta Each day, LinkedIn serves billions of member requests across all our platforms, including our web and mobile apps. It’s important that these member requests—such as viewing a company page, reading a LinkedIn article, or viewing network connections—are fulfilled quickly and that members aren’t faced with slow page load times (latency).

Programming Language 91

Programming Language Java Scala Programming 91

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data

KDnuggets

APRIL 11, 2023

A brief introduction to the intuition and methodology behind the chatbot you can’t stop hearing about.

Process 108

Process 108

Snowflake

APRIL 11, 2023

The COVID-19 pandemic, coupled with increasingly common climate-based natural disasters, showed us how vulnerable global supply chains are. But while a broken supply chain in the automobile industry may mean a shortage of spark plugs at your local auto repair shop, the same situation in the healthcare industry can result in the inability to effectively treat illness or injury.

Healthcare 81

Healthcare Hospitality Medical Manufacturing 81

databricks

APRIL 11, 2023

Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.

Data 76

Data Manufacturing 76

Towards Data Science

APRIL 11, 2023

A hands-on example of how to apply geospatial index Introduction Geospatial Indexing is an indexing technique that provides an elegant way to manage location-based data. It makes geospatial data can be searched and retrieved efficiently so that the system can provide the best experience to its users. This article is going to demonstrate how this works in practice by applying a geospatial index to real-world data and demonstrating the performance gain by doing that.

Bytes 61

Bytes Google Cloud Datasets Programming Language 61

databricks

APRIL 11, 2023

You've likely tried the buzziest advances in generative AI in the past year, tools like ChatGPT and DALL-E. They consume complex data and.

Machine Learning 75

Machine Learning Data Data Science Engineering 75

Confluent

APRIL 11, 2023

If you've used Kafka Streams, Kafka clients, or Schema Registry, you’ve probably felt the frustration of unknown magic bytes. Here are a few ways to fix the issue.

Bytes 57

Bytes Kafka 57

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

databricks

APRIL 11, 2023

We're thrilled to announce the launch of Gamehouse - a new Brickbuilder solution. This modern reference architecture for game analytics is the result.

Architecture 67

Architecture Entertainment Media 67

Precisely

APRIL 11, 2023

It’s a common scenario across industries: a new strategic initiative is launching, and you need trustworthy, relevant data to analyze and support the best outcomes for the business. Your mission is straightforward enough in theory, but you may hit a few roadblocks once you get started. Let’s explore some of the questions you must ask as you begin the process, then dive into the solutions for common challenges you may face.

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Zalando Engineering

APRIL 11, 2023

As part of their week-long International Women's Day event series, the Zalando Women's Network and the Zalando Women in Tech Employee Resource Groups recently held an event to discuss the challenges that women in tech face in the workplace and to share ideas about how to overcome them. We welcomed women in tech leadership to the panel, who shared their experiences and insights into the world of work: Joyce Chen, VP Engineering Beauty; Tian Su, VP Customers, and host Ana Peleteiro Ramallo, Direct

IT 52

IT Education Engineering Building 52

Cloudyard

APRIL 11, 2023

Read Time: 1 Minute, 45 Second During this post we will discuss how to handle Array in java script procedure. Consider the scenario where Business has presented the list of tables in an ARRAY form. As part of process we have to develop the javascript procedure to accept the ARRAY as an input argument. Once the argument received we need to split the ARRAY into individual tables based on the comma delimiter.

Java 52

Java Building Process 52

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

DataKitchen

APRIL 11, 2023

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.

Data Analytics 52

Data Analytics Pharmaceutical Data Analysis Consulting 52

Engineering at Meta

APRIL 11, 2023

We’re sharing how Meta delivers high-quality audio at scale with the xHE-AAC audio codec. xHE-AAC has already been deployed on Facebook and Instagram to provide enhanced audio for features like Reels and Stories. At Meta, we serve every media use case imaginable for billions of people across the world — from short-form, user-generated content, such as Reels , to premium video on demand (VOD) and live broadcasts.

Media 89

Media Metadata Algorithm Engineering 89

Mutt Data

APRIL 11, 2023

New frontiers If you’re a fan of our blog, you know we’re constantly pushing ourselves to be at the frontier of AI/ML tech. In our latest technical post, we introduced Stable Diffusion. Not because of all the hype around it, but because our brand-new Research Squad has been doing ✨ magic ✨ with it! But building on top of state of the art models is not enough by itself if you plan on using it in production.

Utilities 40

Utilities Python Deep Learning AWS 40

Cloudera

APRIL 11, 2023

One of the core principles that guides Cloudera and everything we do is a commitment to the open source community. As the entire Cloudera Data Platform is built on open source projects, we find it crucial to participate in and contribute back to the community. Applied ML prototypes are one of the ways that we accomplish this. Applied ML Prototypes (AMPs) are fully built end-to-end data science solutions that allow data scientists to go from an idea to a fully working machine learning model in a

Entertainment 72

Entertainment Machine Learning Programming Language Data Science 72

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

Rockset

APRIL 11, 2023

Rockset hosted a tech talk on its new cloud architecture that separates storage-compute and compute-compute for real-time analytics. With compute-compute separation in the cloud, users can allocate multiple, isolated clusters for ingest compute or query compute while sharing the same real-time data. The talk was led by Rockset co-founder and CEO Venkat Venkataramani and principal architect Nathan Bronson as they shared how Rockset solves the challenge of compute contention by: Isolating streamin

Architecture 52

Architecture Cloud Bytes Metadata 52

Lyft Engineering

APRIL 11, 2023

How Lyft’s ML Platform Saves Time and Money on Big Data/ML Workloads By Anindya Saha & Han Wang Image by DALL·E Motivation In previous articles, we talked about the ML Platform of Lyft, LyftLearn , which manages ML model training as well as batch predictions. With the amount of data Lyft has to process, it’s natural that the cost of operating the platform is very high.

Big Data 87

Big Data SQL Data AWS 87