Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? While users initially experimented with different commands on their own, they began to push the limits of the language model’s capabilities day by day, producing more and more surprising outputs each time.

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Prompt Engineer Prompt Engineering OpenAI ChatGPT 83

Artificial Corner

AUGUST 3, 2023

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. ChatGPT showed people what are the possibilities of NLP and AI in general. While AI models can enhance productivity and save precious time, their effective use is crucial.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Explainability 98

Unite.AI

JULY 5, 2024

In this comprehensive guide, we'll explore LLM-driven synthetic data generation, diving deep into its methods, applications, and best practices. Introduction to Synthetic Data Generation with LLMs Synthetic data generation using LLMs involves leveraging these advanced AI models to create artificial datasets that mimic real-world data.

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LLM Prompt Engineering Prompt Engineer Data Scarcity 259

Flipboard

MARCH 7, 2025

FM solutions are improving rapidly, but to achieve the desired level of accuracy, Verisks generative AI software solution needed to contain more components than just FMs. Prompt optimization The change summary is different than showing differences in text between the two documents.

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Generative AI Prompt Engineering Prompt Engineer Software Development 130

ODSC - Open Data Science

MARCH 5, 2025

In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades. Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI.

Data Science 52

Data Science Software Engineer Data Scientist Machine Learning 52

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Prompt Engineer Prompt Engineering LLM Data Science 52

Unite.AI

SEPTEMBER 30, 2024

Rather, the real transformation that AI will provide for the security industry will take place when AI models are customized and tuned for security use cases. Without an abundance of experts available, the precise work needed to tailor AI models to work within a security context will be slowed.

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ODSC - Open Data Science

FEBRUARY 14, 2025

Generative AI has revolutionized the way we interact with technology, unlocking new possibilities in content creation, automation, and problem-solving. From generating human-like text to assisting in complex decision-making, AI models like GPT-4, Claude, and Gemini are shaping the future. Code-based prompts (e.g.,

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Prompt Engineer Prompt Engineering Generative AI Data Scientist 52

Marktechpost

JUNE 19, 2024

Generative AI for Everyone This course provides a unique perspective on using generative AI. It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective prompt engineering. It aims to empower everyone to participate in an AI-powered future.

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Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 121

IBM Journey to AI blog

FEBRUARY 13, 2024

While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

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Generative AI AI AI Chatbots 343

ODSC - Open Data Science

JULY 31, 2023

With the explosion in user growth with AIs such as ChatGPT and Google’s Bard , prompt engineering is fast becoming better understood for its value. If you’re unfamiliar with the term, prompt engineering is a crucial technique for effectively utilizing text-based large language models (LLMs) like ChatGPT and Bard.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

Marktechpost

JUNE 8, 2024

Implement a data science and machine learning solution for AI in Microsoft Fabric This course covers the data science process in Microsoft Fabric, teaching how to train machine learning models, preprocess data, and manage models with MLflow.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 122

ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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Generative AI Prompt Engineer Prompt Engineering Data Science 98

ODSC - Open Data Science

DECEMBER 19, 2023

This is emphasized by the fact that many AI-focused companies are now actively hiring for remote positions, giving job seekers the flexibility to work from anywhere. So let’s check out some of the top remote AI jobs for pros to look out for in 2024. The average salary for a data scientist is $112,400 per year.

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AI Product Management AI Product Manager Prompt Engineering Prompt Engineer 96

Unite.AI

JANUARY 25, 2024

This data points to a burgeoning interest in the underlying technologies that power generative AI, reflecting a shift towards more sophisticated, AI-driven solutions in tech development. Python, known for its simplicity and efficiency, remains a top choice in fields such as data science, AI, and web development.

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Prompt Engineering Prompt Engineer NLP Generative AI 182

AWS Machine Learning Blog

FEBRUARY 26, 2025

At the core of this strategy is Amazon Elastic Container Store (Amazon ECS) with GPU support, which handles the computationally intensive tasks of natural language processing and data science. To manage the complex flow of data between various AWS services, Pattern employs Apache Airflow.

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Natural Language Processing Prompt Engineering Prompt Engineer AI 67

Heartbeat

FEBRUARY 27, 2024

In an increasingly interconnected and diverse world where communication transcends language barriers, the ability to communicate effectively with AI models in different languages is a vital tool. This article discusses the difficulties that multilingual prompt engineering encounters and solutions to those difficulties.

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Prompt Engineer Prompt Engineering Robotics Deep Learning 40

ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 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.

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Prompt Engineer Prompt Engineering AI Automation Automation 40

Towards AI

MAY 30, 2024

This book was an incredible guide of how to leverage cutting edge AI models and libraries to build robust tools that minimize the pitfalls of the current technology. Shaw Talebi, Founder of The Data Entrepreneurs, AI Educator and Advisor “A must-read for development of customer-facing LLM applications.

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Prompt Engineer Prompt Engineering LLM NLP 108

ODSC - Open Data Science

MARCH 13, 2025

Best Use Cases: Research, AI-powered documentation tools, and knowledge retrieval. Weaknesses: Requires precise prompt engineering for optimalresults. TinyLlama & Phi-3Mini Overview: These ultra-lightweight models focus on mobile and embedded AI applications.

Hybrid AI 52

Hybrid AI LLM Prompt Engineering Prompt Engineer 52

ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Scientist 52

Mlearning.ai

JULY 11, 2023

Photo by Mojahid Mottakin on Unsplash Generative AI, ChatGPT and Prompt Engineering The recent surge in apps harnessing the power of generative AI has been mind-blowing. One popular example of generative AI is ChatGPT, a language model developed by OpenAI. This blog was crafted using www.yarnit.app.

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Prompt Engineer Prompt Engineering ChatGPT OpenAI 40

AWS Machine Learning Blog

MAY 13, 2024

You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. It can be achieved through the use of proper guided prompts. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

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Generative AI Prompt Engineer Prompt Engineering LLM 135

AWS Machine Learning Blog

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost.

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Generative AI Prompt Engineer Prompt Engineering AI 134

IBM Journey to AI blog

JULY 17, 2023

With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai: enterprise-ready next-generation studio bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models.

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Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

NOVEMBER 7, 2024

It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices. Generative AI model components contain microservices for foundation and custom model invocation operations.

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Generative AI Machine Learning AI AI 112

ODSC - Open Data Science

SEPTEMBER 20, 2023

We’re in an age where generative AI models like ChatGPT, Midjourney, and Google’s Bard are pushing the boundaries of what machines can do with human operators. So it’s no surprise that the ability to fine-tune prompts effectively has become a valuable skill. Start with a clear and concise instruction or question in your prompt.

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Generative AI Large Language Models Explainability Data Science 98

AWS Machine Learning Blog

AUGUST 22, 2024

With AI-powered analysis, the process of reviewing an average file of a few hundred pages is reduced to minutes with Discovery Navigator. It employs sophisticated AI to extract medical information from records, providing users with structured information that can be easily reviewed and uploaded into their claims management system.

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Generative AI Auto-complete Software Development Automation 116

ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

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Data Scientist Responsible AI AI AI 98

ODSC - Open Data Science

NOVEMBER 20, 2024

This approach, he noted, applies equally to leveraging AI in areas like data management, marketing, and customer service. Right now, effective prompt engineering requires a careful balance of clarity, specificity, and contextual understanding to get the most useful responses from an AI model.

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Generative AI Prompt Engineer Prompt Engineering Data Quality 71

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. At the same time, the capabilities of AI models have grown. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch.

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Prompt Engineering Prompt Engineer Generative AI Large Language Models 59

ODSC - Open Data Science

OCTOBER 22, 2024

AI and data science landscape will continue to evolve rapidly. At ODSC West 2024 , attendees will have the perfect opportunity to do just that with its comprehensive range of hands-on training sessions, designed to enhance your skills and bring your AI applications to the next level. This is where ODSC West 2024 comes in.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Data Science 52

ODSC - Open Data Science

OCTOBER 6, 2023

Be sure to check out his talk, “ Prompt Optimization with GPT-4 and Langchain ,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people run a prompt 2–3 times and find something that works well enough.

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Prompt Engineering Prompt Engineer Python Data Science 52

ODSC - Open Data Science

OCTOBER 27, 2023

Here’s what a possible implementation of document classification with the Amazon Bedrock and Anthropic Claude-v1 model looks like. We use Amazon Textract’s document extraction abilities with LangChain to get the text from the document and then use prompt engineering to identify the possible document category.

IDP 98

IDP LLM Large Language Models Data Science 98

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering, Retrieval Augmented Generation (RAG) and fine tuning are used. For details, refer to Creating an AWS account.

Python 124

Python Machine Learning Auto-complete Data Science 124

ODSC - Open Data Science

MAY 21, 2024

New Content The data science and AI fields change fast (not to mention LLMs), and it can be difficult to stay at the forefront of your field or industry. AI Expo and Demo Hall Exploring options for building your own AI models and algorithms or working with a 3rd party?

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Data Science Continuous Learning Deep Learning Machine Learning 52