Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? The output produced by language models varies significantly with the prompt served. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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Prompt Engineer Prompt Engineering OpenAI ChatGPT 83

Flipboard

MARCH 12, 2025

These are the best online AI courses you can take for free this month: A Gentle Introduction to Generative AI AI-900: Microsoft Azure AI Fundamentals AI Art Generation Guide: Create AI Images For Free AI Filmmaking AI for Beginners: Learn The Basics of ChatGPT AI for Business and Personal Productivity: A Practical Guide AI for Everyone AI Literacy (..)

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 158

AWS Machine Learning Blog

NOVEMBER 29, 2024

Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output.

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AI Weekly

AUGUST 31, 2023

forbes.com A subcomponent-guided deep learning method for interpretable cancer drug response prediction SubCDR is based on multiple deep neural networks capable of extracting functional subcomponents from the drug SMILES and cell line transcriptome, and decomposing the response prediction. dailymail.co.uk dailymail.co.uk

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AWS Machine Learning Blog

JANUARY 22, 2025

Customizing an FM that is specialized on a specific task is often done using one of the following approaches: Prompt engineering Add instructions in the context/input window of the model to help it complete the task successfully. For our specific task, weve found prompt engineering sufficient to achieve the results we needed.

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Prompt Engineering Prompt Engineer Natural Language Processing Machine Learning 110

Heartbeat

AUGUST 25, 2023

Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. However; current prompt engineering workflows are incredibly tedious and cumbersome. Logging prompts and their outputs to .csv First install the package via pip.

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Prompt Engineer Prompt Engineering Large Language Models Metadata 52

Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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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 Data Science LLM 52

Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

AssemblyAI

SEPTEMBER 29, 2023

Controlling text to image models is a difficult task, and they often may not convey visually specific concepts or details provided in the prompt. As a result, the concept of prompt engineering came to be, which is the study and practice of developing prompts specifically to drive tailored outputs of text-to-image models.

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Unite.AI

DECEMBER 27, 2023

Another breakthrough is the rise of generative language models powered by deep learning algorithms. Facebook's RoBERTa, built on the BERT architecture, utilizes deep learning algorithms to generate text based on given prompts. trillion parameters, making it one of the largest language models ever created.

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads. Define the right customization strategy – There are several strategies to enhance the capacities of your model, ranging from prompt engineering to full fine-tuning.

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Marktechpost

APRIL 28, 2024

The course covers the common terminologies of AI, including neural networks, machine learning, deep learning, etc., It also covers topics like generative AI and its applications, as well as prompt engineering. The course also has hands-on exercises that help the students augment their learning.

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Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 109

Marktechpost

JUNE 8, 2024

Fundamentals of machine learning This course provides a foundational understanding of machine learning, including its core concepts, types, and considerations for training and evaluating models. It also covers deep learning fundamentals and the use of automated machine learning in Azure Machine Learning service.

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Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 125

Marktechpost

JULY 25, 2024

Their rise is driven by advancements in deep learning, data availability, and computing power. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.

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Large Language Models Prompt Engineer Prompt Engineering Chatbots 113

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. For certain use cases, fine-tuning may be required.

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ESG Generative AI LLM Prompt Engineering 106

AWS Machine Learning Blog

MARCH 21, 2025

/samples/2003.10304/page_0.png' Take your scientific document analysis to the next level and stay ahead of the curve in this rapidly evolving landscape.

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Metadata Convolutional Neural Networks Generative AI Data Scientist 114

Marktechpost

MAY 29, 2024

Getting Started with Deep Learning This course teaches the fundamentals of deep learning through hands-on exercises in computer vision and natural language processing. It also covers how to set up deep learning workflows for various computer vision tasks.

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Neural Network Natural Language Processing Large Language Models Deep Learning 93

Heartbeat

FEBRUARY 27, 2024

Multilingual prompt engineering is the art and science of creating clear and precise instructions for AI models that understand and respond in multiple languages. This article discusses the difficulties that multilingual prompt engineering encounters and solutions to those difficulties.

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ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

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Data Science Neural Network Convolutional Neural Networks Large Language Models 52

ODSC - Open Data Science

AUGUST 21, 2023

Well, since much of what they’re looking for is new, they were in search of a candidate that had about three years of experience while specializing in deep learning. Prompt Engineer As I mentioned earlier, AI isn’t just opening the door for data scientists who specialize in AI, well not totally.

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Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 98

IBM Journey to AI blog

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. It usually takes a certain amount of trial and error to craft the right prompt that can enables the model to generate the desired result, a new field called prompt engineering.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Marktechpost

JULY 26, 2024

Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural language input directly to SQL output without intermediate steps.

LLM 120

LLM Prompt Engineer Prompt Engineering Large Language Models 120

ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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Prompt Engineer Prompt Engineering Data Science NLP 52

Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Some Terminologies related to Artificial Intelligence (Ai) Deep Learning is a technique used in artificial intelligence (AI) that teaches computers to interpret data in a manner modeled after the human brain.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Marktechpost

JULY 10, 2023

the digital image), but arises from the interaction of humans with the AI and the resulting practices that evolve from this interaction (e.g., “prompt engineering” and curation). The paper argues that human creativity in text-to-image synthesis lies not in the end product (i.e.,

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AWS Machine Learning Blog

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

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LLM Generative AI Machine Learning Prompt Engineering 109

AWS Machine Learning Blog

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. It can be achieved through the use of proper guided prompts. There are many prompt engineering techniques.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” The result will be unusable if a user prompts the model to write a factual news article.

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Marktechpost

APRIL 2, 2025

Gomoku, a classic board game known for its simple rules yet deep strategic complexity, presents difficulties for both traditional search-based methods, which are computationally expensive, and machine learning approaches, which often struggle with efficiency.

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Large Language Models Prompt Engineering Prompt Engineer LLM 48

Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

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Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? Deep learning neural network.

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Generative AI Prompt Engineering Prompt Engineer Large Language Models 98

Unite.AI

JANUARY 23, 2024

LLMs are a class of deep learning models that are pretrained on massive text corpora, allowing them to generate human-like text and understand natural language at an unprecedented level. Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task.

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Large Language Models Prompt Engineering Prompt Engineer LLM 100

Towards AI

AUGUST 31, 2023

Part 1 — Understanding Prompt Engineering Techniques This member-only story is on us. Prompting techniques. If you still don’t know what prompting is, then you are probably living under a rock or probably just woke up from a comma. Upgrade to access all of Medium.

OpenAI 122

OpenAI Prompt Engineer Prompt Engineering LLM 122

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. Through training, LLMs learn to predict the next word in a sequence, given the words that have come before.

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Large Language Models LLM Machine Learning Neural Network 189

Unite.AI

AUGUST 12, 2024

Their mission is clear: to develop and advance state-of-the-art generative deep learning models for media such as images and videos, while pushing the boundaries of creativity, efficiency, and diversity. Black Forest Labs Open-Source FLUX.1 Introducing the Flux Model Family Black Forest Labs has introduced the FLUX.1

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