Unite.AI

MARCH 5, 2024

Advantages of RAG: Better Information Search: RAG quickly finds accurate information from big data sources. Flexible Use: Users can adjust RAG to fit their specific requirements, like using their proprietary data sources, boosting effectiveness. Improved Content: It creates clear, well-matched content for what users need.

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LLM Large Language Models Prompt Engineer Prompt Engineering 290

AWS Machine Learning Blog

JANUARY 30, 2025

By combining the advanced NLP capabilities of Amazon Bedrock with thoughtful prompt engineering, the team created a dynamic, data-driven, and equitable solution demonstrating the transformative potential of large language models (LLMs) in the social impact domain.

Prompt Engineer 89

Prompt Engineer Prompt Engineering Generative AI Software Development 89

AWS Machine Learning Blog

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Prompt Engineering 139

Prompt Engineering Prompt Engineer Generative AI LLM 139

AWS Machine Learning Blog

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Arghya Banerjee is a Sr.

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ESG Generative AI LLM Prompt Engineer 105

ODSC - Open Data Science

FEBRUARY 16, 2024

Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. Now, what do prompt engineering job descriptions actually want you to do? Here are some common prompt engineering use cases that employers are looking for.

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Prompt Engineering Prompt Engineer Large Language Models Chatbots 52

ODSC - Open Data Science

JULY 27, 2023

Adopting & Scaling AI, a Beginner’s Guide to Prompt Engineering, and Pretraining Large Language Models 5 Concerns Surrounding the Scaling and Adoption of AI From privacy and data security to job displacement and more, these are five concerns that people have about AI right now.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. How can big data analytics help?

Prompt Engineering 40

Prompt Engineering Prompt Engineer AI Automation Automation 40

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. Large Language Models (LLMs) , once niche, became central to nearly every AI conversation.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

AWS Machine Learning Blog

FEBRUARY 10, 2025

Solution overview: Building a multi-agent generative AI solution We began with a carefully crafted evaluation set of over 200 prompts, anticipating common user questions. Our initial approach combined prompt engineering and traditional Retrieval Augmented Generation (RAG).

Generative AI 95

Generative AI Data Science Data Scientist AI 95

Flipboard

NOVEMBER 15, 2024

You employ prompt engineering techniques to guide the LLM on the outputs you want it to generate. You can send the table information from the Data Catalog as context in your prompt without exceeding the context window (the number of input tokens that most Amazon Bedrock models accept).

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Metadata Generative AI LLM AI 146

Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

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ETL Prompt Engineer Prompt Engineering Generative AI 156

ODSC - Open Data Science

DECEMBER 19, 2023

All of this puts data scientists in high demand, and the job market is expected to grow rapidly in the coming years. Prompt Engineer Prompt engineers are in the wild west of AI. For those who might not know, prompts are pieces of text that provide instructions to the model on how to generate output.

AI Product Manager 96

AI Product Manager AI Product Management Prompt Engineering Prompt Engineer 96

Artificial Corner

JULY 30, 2023

Prompts design is a process of creating prompts which are the instructions and context that are given to Large Language Models to achieve the desired task. Prompt engineering is a technique used in artificial intelligence to optimize and refine language models for specific activities and intended outcomes.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Flipboard

DECEMBER 6, 2023

Given their versatile nature, these models require specific task instructions provided through input text, a practice referred to as prompt engineering. The effectiveness of both the model’s performance and the prompt’s quality significantly influence the final quality of the model’s outputs.

BERT 166

BERT Large Language Models Artificial Intelligence Artificial Intelligence 166

AWS Machine Learning Blog

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. He entered the big data space in 2013 and continues to explore that area.

Generative AI 135

Generative AI Prompt Engineer Prompt Engineering AI 135

AWS Machine Learning Blog

OCTOBER 6, 2023

Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering.

Generative AI 133

Generative AI LLM Natural Language Processing Metadata 133

Towards AI

SEPTEMBER 6, 2023

As the demand for LLM-based applications skyrockets, the need for skilled engineers who can harness the potential of these models has never been more critical. Enter Databricks, a name synonymous with groundbreaking advancements in the big data space.

Large Language Models 122

Large Language Models Natural Language Processing LLM Machine Learning 122

ODSC - Open Data Science

AUGUST 11, 2023

Enabling AI Transformation: MLOps Infrastructure, AI Command Centre, and Data Science in Telecommunication Habib Baluwala | Domain Chapter Lead | Spark New Zealand This session will take you through a detailed exploration of how to implement data science to enhance customer satisfaction and drive business growth.

Data Science 98

Data Science Data Scientist Machine Learning Prompt Engineer 98

TransOrg Analytics

OCTOBER 3, 2024

With AIs ability to manage unstructured data, it will be a game-changer for businesses looking to leverage their data for competitive advantage. Data Literacy: Bridging the Knowledge Gap Data literacy is quickly becoming essential as organizations strive to extract valuable insights from AI, machine learning, and big data.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

TransOrg Analytics

OCTOBER 3, 2024

With AI’s ability to manage unstructured data, it will be a game-changer for businesses looking to leverage their data for competitive advantage. Data Literacy: Bridging the Knowledge Gap Data literacy is quickly becoming essential as organizations strive to extract valuable insights from AI, machine learning, and big data.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

AWS Machine Learning Blog

AUGUST 8, 2024

Refine your existing application using strategic methods such as prompt engineering , optimizing inference parameters and other LookML content. You can gain granular control over the reasoning capabilities using several prompt engineering techniques. Create a simple web application using LangChain and Streamlit.

Metadata 121

Metadata LLM Prompt Engineer Prompt Engineering 121

AWS Machine Learning Blog

OCTOBER 23, 2024

It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS).

Generative AI 80

Generative AI IDP LLM Automation 80

ODSC - Open Data Science

FEBRUARY 6, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. LLM Best Practises: Training, Fine-Tuning and Cutting Edge Tricks from Research Sanyam Bhutani | Sr.

Large Language Models 52

Large Language Models Big Data LLM Data Science 52

ODSC - Open Data Science

FEBRUARY 8, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries.

Big Data 52

Big Data Large Language Models Data Science Deep Learning 52

Pickl AI

SEPTEMBER 19, 2024

How Prompt Tuning Fits into the Broader Context of AI and Machine Learning In the broader context of AI and Machine Learning , prompt tuning is part of a larger strategy known as “prompt engineering.” Prompt tuning is a more focused method compared to full model fine-tuning.

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Prompt Engineering Prompt Engineer Machine Learning Artificial Intelligence 52

ODSC - Open Data Science

AUGUST 15, 2023

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

Software Architect 52

Software Architect Data Science Data Scientist Machine Learning 52

AWS Machine Learning Blog

APRIL 9, 2025

Prior to his current role, he worked as a Software Engineer at AWS and other companies, focusing on sustainability technology, big data analytics, and cloud computing. Jed Lechner is a Specialist Solutions Architect at Amazon Web Services specializing in generative AI solutions with Amazon Q Business and Amazon Q Apps.

Generative AI 66

Generative AI Metadata Software Engineer Prompt Engineer 66

Topbots

JULY 29, 2024

Best Practices for Prompt Engineering: Guidance on creating effective prompts for various tasks. Hands-on Experience: Numerous examples and interactive exercises in a Jupyter notebook environment to practice prompt engineering. Prompt Engineering: Understand the techniques of prompt engineering.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Despite the rise of big data technologies and cloud computing, the principles of dimensional modeling remain relevant.

Deep Learning 52

Deep Learning Data Science Neural Network BERT 52

ODSC - Open Data Science

JANUARY 7, 2025

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Data Engineering Data engineering remains integral to many data science roles, with workflow pipelines being a key focus.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

Bugra Akyildiz

AUGUST 27, 2023

Prompt engineering aims to solve these problems, but comes with a steep learning curve and increased fragility as the prompt increases in size. TypeChat replaces prompt engineering with schema engineering. Simply define types that represent the intents supported in your natural language application.

OpenAI 52

OpenAI Large Language Models Categorization LLM 52

ODSC - Open Data Science

OCTOBER 16, 2024

Alfred Spector, Visiting Scholar at MIT and Senior Advisor at Blackstone — Beyond Models — Applying AI and Data Science Effectively Chip Huyen, VP of AI & OSS at Voltron Data Talks: RAG on the Edge RAG in 2024: Advancing to Agents Frontiers of Foundation Models for Time Series Data Science in the Age of Generative AI Building Reliable Coding Agents (..)

Data Science 40

Data Science Prompt Engineer Prompt Engineering Large Language Models 40

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AI News

JUNE 28, 2024

Photo by Matt Artz ) See also: Think tank calls for AI incident reporting system Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Prompt Engineering Prompt Engineer Big Data AI 312

AWS Machine Learning Blog

JANUARY 26, 2024

As part of quality assurance tests, introduce synthetic security threats (such as attempting to poison training data, or attempting to extract sensitive data through malicious prompt engineering) to test out your defenses and security posture on a regular basis. Ram Vittal is a Principal ML Solutions Architect at AWS.

Generative AI 139

Generative AI ML LLM AI 139

AWS Machine Learning Blog

DECEMBER 2, 2024

Use prompt engineering to improve accuracy from 64% to 76% Prompt engineering is a crucial technique to improve the performance of LLMs. We learned from our project that there is no one-size-fits-all prompt engineering approach; it’s a best practice to design task-specific prompts.

Automation 94

Automation Generative AI Prompt Engineer Prompt Engineering 94

AWS Machine Learning Blog

NOVEMBER 12, 2024

The response is displayed to the user through the widgets visualizing the trial data and the answer to the user’s specific question, as shown in the following screenshot. The data used in the prompt engineering (trial result and rules) is stored in plain text and sent to the model as is.

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Generative AI Prompt Engineer Prompt Engineering AI 111