Edureka

APRIL 24, 2024

This data can be retrieved from anything – books, blogs, pictures or images. However, one crucial aspect to consider is using prompts. To achieve the desired outcomes, users need to add the right prompts, which is why prompt engineering is becoming a high-value career. No, Google is a search engine.

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Pharmaceutical Manufacturing Datasets Algorithm 52

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. Fine-tuning December 2021 Fine-tuning, a topic I covered in my previous blog post , has progressed out of beta.

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Datasets Architecture Process Accessible 99

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. Overall, GPT-based data engineering accelerators are very efficient and beneficial for organizations. GPT-Based Data Engineering Accelerators: Given below is the list of some of the GPT-based data engineering accelerators. 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Christophe Blefari

JUNE 3, 2023

A dynamic prompt — (Paragraphica camera) Fast News ⚡️ Meltano announced their Cloud — Meltano is an open-source data integration project that has been started at Gitlab. Breaking into data engineering as a self-taught developer — A few advice from a fellow data engineer who was data analyst before.

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Christophe Blefari

DECEMBER 31, 2023

OpenAI prompt engineering guide — Wow, an official guide to become a prompt engineer /s. Idempotence — Matt wrote an article to explain what's the idempotence and why it matters in data engineering. Druid deprecation and ClickHouse adoption at Lyft — Data engineer loves migration.

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Data Cloud Storage Datasets Python 100

FreshBI

JANUARY 16, 2024

In this example we use ChatGPT but the principle applies to sending prompts to any Artificial Intelligence. ChatGPT Prompts At its core, ChatGPT is a chatbot. The inputs, in the AI context, are called ‘prompts’. Prompts are so important that there’s a new skill set that has evolved altogether: prompt engineering.

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BI Business Intelligence Datasets Coding 52

databricks

SEPTEMBER 14, 2023

As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7.

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Data Engineering Weekly

APRIL 21, 2023

Welcome to another episode of Data Engineering Weekly Radio. Ananth and Aswin discussed a blog from BuzzFeed that shares lessons learned from building products powered by generative AI. The blog highlights how generative AI can be integrated into a company's work culture and workflow to enhance creativity rather than replace jobs.

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Building Data Architect Education Data Engineering 52

Workfall

FEBRUARY 21, 2023

In this blog, we are going to see some use cases of ChatGPT for developers such as yourself. Here we will demonstrate how to create a simple ChatGPT-powered application that enables Software Engineers to generate user stories for their clients’ requests. We will come up with more such use cases in our upcoming blogs.

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Software Engineer Software Engineering Engineering Coding 84

Workfall

DECEMBER 19, 2023

For Part 1 of this blog, refer here. In this technical blog, we will take you through a step-by-step journey, exploring the PartyRock playground, signing in, trying out some already built interesting apps, and ultimately building our own app. You will then be prompted to enter the password for your Gmail account.

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Building AWS Accessible Accessibility 81

Edureka

APRIL 17, 2024

Content creation: AI tools can write insightful blogs, social media posts, and product descriptions. While generative tools can do all of the above and more, they still need human input, called prompts, to start processing results. Here are some use cases explaining how businesses can leverage generative AI tools.

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Healthcare Retail Media Entertainment 40

DoorDash Engineering

NOVEMBER 28, 2023

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. Therefore, it’s critical for the data and engineering teams to have comprehensive support throughout the ML process.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Workfall

JULY 11, 2023

In this blog post, we will demonstrate how to leverage the Translate NPM package, combined with the powerful Libre Engine, to seamlessly translate text between different languages. Finally, we will go through the different sets of engines provided by the translate package and how we can use them for performing the translation.

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Engineering Coding Accessible Accessibility 49

Cloudera

FEBRUARY 1, 2024

In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises. The rest of the blog covers precisely how the platform handles monitoring and troubleshooting of the platform when breakages happen.

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Cloud Architecture Utilities Designing 85

Cloudera

DECEMBER 21, 2023

All you have to do is launch the SQL AI Assistant, and ask it to generate a query based on a natural language prompt. To do that, we’ll launch the SQL AI Assistant, select “generate” from the menu and enter “get store name, store id, manager, zip code, total sales of each store, and sort by total sales in ascending order“ as our prompt.

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SQL Data Warehouse Business Analyst Data Schemas 69

Data Engineering Weekly

MARCH 19, 2023

link] Data Engineering Weekly talks in detail about adopting functional data engineering principles, and Apache Hudi certainly supports it out of the box. Data Engineering Weekly Functional Data Engineering - A Blueprint The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn.

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Data Engineering Data Engineer Engineering Media 57

Data Engineering Weekly

FEBRUARY 26, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. I’m thrilled to see Funding Circle writes about its Data Engineering culture.

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Data Engineering Data Engineer Engineering Raw Data 57

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Data Engineering Weekly

JUNE 25, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The blog narrates the essence of the asset model below. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Editor’s Note: 🚀🌐🎉 Calling all Data Engineering Weekly Readers!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Weekly

MARCH 10, 2024

NVIDIA's blog post on Trustworthy AI defines it as an AI development approach prioritizing safety and transparency, emphasizing the importance of developing AI systems that people can trust. Data engineers build the systems that store and process sensitive information. link] NVIDIA: What Is Trustworthy AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Workfall

SEPTEMBER 18, 2023

In this blog, we’re diving into the world of data integration with Airbyte, unraveling the mystery behind its simplicity, and uncovering how it seamlessly connects with Snowflake to transform your data into actionable insights. In this blog, we will cover: What is Airbyte? How to Use DBT to Get Actionable Insights from Data?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This will help your team respond promptly to issues, minimizing any potential downtime.

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Knowledge Hut

MARCH 13, 2024

People often associate software engineering with complex algorithms, commands, and data structures. Having worked in the software engineering field for many years, I can say that the code can sometimes seem like an alien language. What is Software Engineering?

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Software Engineer Software Engineering Engineering Coding 52

DoorDash Engineering

NOVEMBER 7, 2023

Figure 1: An example of a real-time push notification to prompt purchase completion. This is an opportunity to develop an intelligent notification system that can send context-aware prompts at the appropriate time with relevant content. Sessionization traditionally is done as a batch process at DoorDash.

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Designing Coding Process Management 95

Mutt Data

OCTOBER 18, 2023

Agent prompting patterns : Advanced prompting techniques, such as ReAct and Plan&Solve, can be employed in complex tasks to circumvent the rigidity of the state machine design. Prompt condensation : There is both good and bad prompt engineering. What controls can be implemented?

Utilities 45

Utilities Datasets Manufacturing Retail 45

Mutt Data

OCTOBER 18, 2023

Agent prompting patterns : Advanced prompting techniques, such as ReAct and Plan&Solve, can be employed in complex tasks to circumvent the rigidity of the state machine design. Prompt condensation : There is both good and bad prompt engineering. What controls can be implemented?

Utilities 45

Utilities Datasets Manufacturing Retail 45

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. In this article: Why are data testing tools important?

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Rockset

AUGUST 2, 2023

In 2022, Windward embarked on several changes to its application prompting a reconsideration of its underlying data stack. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

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Database-centric PostgreSQL Transportation Insurance 52

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. This blog mostly focuses on the mode selector to explain how rankings have evolved in the past years and briefly touches on the post request cross-sells.

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Systems Pipeline-centric Machine Learning Transportation 87

Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Introduction. 1 Mohammad, Saif M. Ethics Sheets for AI Tasks.”

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Deep Learning High Quality Data Telecommunication Systems 90

Workfall

SEPTEMBER 5, 2023

Reflection lets you invoke methods by name, which can be useful for generic code, scripting engines, and dynamic method dispatch. Launch the Command Prompt and enter “javac.” ” If you already have the Command Prompt open, we recommend closing the current window and reopening it.

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Java Programming Coding Programming Language 70

Data Engineering Weekly

APRIL 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Editor’s Note: 🚀🌐🎉 Calling all Data Engineering Weekly Readers!

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Scott Logic

APRIL 14, 2024

Introduction This blog is a unique exploration identifying the intersection of IT and Psychology. We should really think about why we want to change, what prompts us to stare at the same piece of work, the same theory, the same working model, the same piece of code and ask ourselves “why am I repeating this activity?”

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IT Project Cloud Computing AWS 52

Cloudera

OCTOBER 17, 2022

As we wrap up Hispanic Heritage month this #ClouderaLife Spotlight features Elias Avila, senior staff proactive support engineer for Cloudera. Elias Avila is a senior staff proactive support engineer who works directly with Cloudera’s customers. Working in Cloudera’s support organization.

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Engineering Food Programming Process 97

Knowledge Hut

JANUARY 12, 2024

OpenAI is a company that is well known DALL·E, a deep-learning model that generates images from text instructions called prompts. It was designed by human AI engineers to save people’s time and make their lives easier. ChatGPT is launched in different versions such as: The default GPT-3.5

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Education Algorithm Accessible Accessibility 52

Databand.ai

JULY 5, 2023

These tools offer data engineers insight into the health of their data infrastructure, by giving visibility into crucial metrics like latency, throughput, and error rates. Alerting and notification: Timely notifications and alerts are vital for data engineers to respond promptly to issues before they escalate.

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Data Pipeline Data Lake Data Warehouse Datasets 52