Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Prompt design and engineering are growing disciplines that aim to optimize the output quality of AI models like ChatGPT. Our exploration into prompt engineering techniques aims to improve these aspects of LLMs.

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Unite.AI

SEPTEMBER 27, 2023

Generative AI refers to models that can generate new data samples that are similar to the input data. Recent estimates by McKinsey suggest that this Generative AI could offer annual savings of up to $340 billion for the banking sector alone. I work as a data scientist at a French-based financial services company.

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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. Sonnet models, Meta’s Llama 3 70B and Llama 3.1

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures.

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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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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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Towards AI

APRIL 10, 2023

Photo by Unsplash.com The launch of ChatGPT has sparked significant interest in generative AI, and people are becoming more familiar with the ins and outs of large language models. It’s worth noting that prompt engineering plays a critical role in the success of training such models. Some examples of prompts include: 1.

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ODSC - Open Data Science

AUGUST 29, 2023

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

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Prompt Engineering Prompt Engineer Large Language Models Natural Language Processing 98

ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

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AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Customers need better accuracy to take generative AI applications into production. This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs.

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Marktechpost

JULY 4, 2023

What is prompt engineering? For developing any GPT-3 application, it is important to have a proper training prompt along with its design and content. Prompt is the text fed to the Large Language Model. Prompt engineering involves designing a prompt for a satisfactory response from the model.

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Unite.AI

OCTOBER 2, 2023

When fine-tuned, they can achieve remarkable results on a variety of NLP tasks. Chatgpt New ‘Bing' Browsing Feature Prompt engineering is effective but insufficient Prompts serve as the gateway to LLM's knowledge. They've been trained on so much data that they've absorbed a lot of facts and figures.

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Towards AI

AUGUST 6, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies.

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Topbots

JULY 24, 2023

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. Let’s explore the tactics to follow these crucial principles of prompt engineering and other best practices.

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AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.

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AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Effective prompt engineering is key to developing natural language to SQL systems.

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Heartbeat

APRIL 10, 2023

It is able to write different believable phishing messages and even generate malicious code blocks, sometimes producing output that amounted to exploitation, as well as often well-intentioned results. At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering?

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Analytics Vidhya

JULY 7, 2023

Introduction Natural Language Processing (NLP) models have become increasingly popular in recent years, with applications ranging from chatbots to language translation. However, one of the biggest challenges in NLP is reducing ChatGPT hallucinations or incorrect responses generated by the model.

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AWS Machine Learning Blog

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. It can be achieved through the use of proper guided prompts.

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Analytics Vidhya

JANUARY 4, 2024

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. GPT-3, a prime example, excels in generating coherent text.

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Towards AI

FEBRUARY 7, 2025

Last Updated on February 7, 2025 by Editorial Team Author(s): Nabanita Roy Originally published on Towards AI. This article explores how prompt engineering & LLMs offer a digital, quick, and better annotation approach over manual ones This member-only story is on us. Join thousands of data leaders on the AI newsletter.

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Unite.AI

JANUARY 25, 2024

Surge in Generative AI and GPTs: A New Focus in Tech Development The tech world is witnessing a seismic shift in focus, as evidenced by the O'Reilly Report, which highlights a staggering 3,600% surge in interest in Generative Pre-trained Transformers (GPT) and generative AI.

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AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. For our specific task, weve found prompt engineering sufficient to achieve the results we needed. Fine-tuning Train the FM on data relevant to the task.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL.

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Marktechpost

JUNE 24, 2024

This interest is not just about the impressive capabilities of ChatGPT in generating human-like text but also about its profound implications for the workforce. These skills underscore the need for workers to adapt and develop new competencies to work effectively alongside advanced AI systems like ChatGPT.

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AWS Machine Learning Blog

MARCH 14, 2025

These challenges make it difficult for organizations to maintain consistent quality standards across their AI applications, particularly for generative AI outputs. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. Adewale Akinfaderin is a Sr.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. LLMs have been considered game-changers because of their ability to generate coherent text. I’ve been asked many times about common terms used in this field.

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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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AWS Machine Learning Blog

OCTOBER 6, 2023

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

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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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Marktechpost

JUNE 8, 2024

Microsoft Azure AI Fundamentals This course introduces AI fundamentals and Microsoft Azure services for AI solutions, aiming to build awareness of AI workloads and relevant Azure services.

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IBM Journey to AI blog

JUNE 14, 2023

Hear expert insights and technical experiences during IBM watsonx Day Solving the risks of massive datasets and re-establishing trust for generative AI Some foundation models for natural language processing (NLP), for instance, are pre-trained on massive amounts of data from the internet.

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