AWS Machine Learning Blog

JANUARY 31, 2025

However, there are benefits to building an FM-based classifier using an API service such as Amazon Bedrock, such as the speed to develop the system, the ability to switch between models, rapid experimentation for prompt engineering iterations, and the extensibility into other related classification tasks. Text from the email is parsed.

Prompt Engineering 96

Prompt Engineering Prompt Engineer Data Scientist Large Language Models 96

Unite.AI

JULY 26, 2023

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. Launched in 2022, DALL-E, MidJourney, and StableDiffusion underscored the disruptive potential of Generative AI. This makes us all prompt engineers to a certain degree.

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Prompt Engineering Prompt Engineer ChatGPT Large Language Models 246

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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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

Analytics Vidhya

JANUARY 5, 2024

By providing specific instructions and context, prompts guide LLMs to generate more accurate and relevant responses. In this comprehensive guide, we will explore the importance of prompt engineering and delve into 26 prompting principles that can significantly improve LLM performance.

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LLM Prompt Engineering Prompt Engineer Large Language Models 305

Flipboard

MARCH 4, 2025

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

Generative AI 162

Generative AI Prompt Engineer Prompt Engineering AI 162

Unite.AI

OCTOBER 2, 2023

Chatgpt New ‘Bing' Browsing Feature Prompt engineering is effective but insufficient Prompts serve as the gateway to LLM's knowledge. However, crafting an effective prompt is not the full-fledged solution to get what you want from an LLM. They guide the model, providing a direction for the response.

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LLM Prompt Engineer Prompt Engineering Large Language Models 296

Unite.AI

SEPTEMBER 27, 2023

Generative AI refers to models that can generate new data samples that are similar to the input data. Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems.

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 302

AI News

NOVEMBER 15, 2023

The hype surrounding generative AI and the potential of large language models (LLMs), spearheaded by OpenAI’s ChatGPT, appeared at one stage to be practically insurmountable. Alongside being a general extension to ChatGPT, the Wolfram plugin can also synthesise code. “It But the LLM is not just about chat,” says McLoone.

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Generative AI LLM Big Data Explainability 323

Flipboard

JUNE 16, 2023

Last Updated on June 16, 2023 With the explosion in popularity of generative AI in general and ChatGPT in particular, prompting has become an increasingly important skill for those in the world of AI.

Prompt Engineering 178

Prompt Engineering Prompt Engineer ChatGPT Large Language Models 178

Analytics Vidhya

NOVEMBER 20, 2023

Introduction This article concerns building a system based upon LLM (Large language model) with the ChatGPT AI-1. It is expected that readers are aware of the basics of Prompt Engineering. To have an insight into the concepts, one may refer to: [link] This article will adopt a step-by-step approach.

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LLM ChatGPT Prompt Engineering Prompt Engineer 272

Towards AI

NOVEMBER 14, 2024

From Beginner to Advanced LLM Developer Why should you learn to become an LLM Developer? Large language models (LLMs) and generative AI are not a novelty — they are a true breakthrough that will grow to impact much of the economy. The core principles and tools of LLM Development can be learned quickly.

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LLM Software Development Machine Learning Data Scientist 116

Unite.AI

JANUARY 22, 2025

With the rise of large language models (LLMs), however, new challenges have surfaced. LLMs require massive computing power, advanced infrastructure, and techniques like prompt engineering to operate efficiently. To address this complexity, auto-evaluation frameworks have emerged, where one LLM is used to assess another.

Prompt Engineer 202

Prompt Engineer Prompt Engineering Large Language Models LLM 202

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.

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ESG Generative AI LLM Prompt Engineer 116

AWS Machine Learning Blog

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. By harnessing the latest advancements in generative AI, we empower employees to unlock new levels of efficiency and creativity within the tools they already use every day.

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Generative AI LLM AI AI 113

Unite.AI

JUNE 30, 2023

Generative AI and particularly the language-flavor of it – ChatGPT is everywhere. Large Language Model (LLM) technology will play a significant role in the development of future applications. As we get into next phase of AI apps powered by LLMs – following key components will be crucial for these next-gen applications.

Large Language Models 276

Large Language Models LLM OpenAI Prompt Engineer 276

AWS Machine Learning Blog

JANUARY 28, 2025

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLMs capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk.

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LLM Large Language Models ML Algorithm 112

AWS Machine Learning Blog

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

Prompt Engineering 140

Prompt Engineering Prompt Engineer Chatbots Generative AI 140

AWS Machine Learning Blog

FEBRUARY 12, 2025

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

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LLM Generative AI Automation Machine Learning 100

Flipboard

JULY 27, 2023

When talking to newsroom leaders about their experiments with generative AI, a new term has cropped up: prompt engineering. Prompt engineering is necessary for most interactions with LLMs, especially for publishers developing specific chatbots and quizzes. WTF is prompt engineering?

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Prompt Engineering Prompt Engineer Large Language Models Chatbots 123

Unite.AI

SEPTEMBER 20, 2023

How Hugging Face Facilitates NLP and LLM Projects Hugging Face has made working with LLMs simpler by offering: A range of pre-trained models to choose from. A great resource available through Hugging Face is the Open LLM Leaderboard. Tools and examples to fine-tune these models to your specific needs.

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LLM NLP BERT Python 342

AWS Machine Learning Blog

FEBRUARY 27, 2025

In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI.

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LLM Generative AI AI AI 81

Flipboard

DECEMBER 27, 2023

In today’s column, I have put together my most-read postings on how to skillfully craft your prompts when making use of generative AI such as ChatGPT, Bard, Gemini, Claude, GPT-4, and other popular large language models (LLM). These are handy strategies and specific techniques that can make a …

Prompt Engineering 178

Prompt Engineering Prompt Engineer Generative AI Large Language Models 178

Unite.AI

SEPTEMBER 19, 2023

These open-source options democratize access to advanced AI technology, fostering innovation and inclusivity in the rapidly evolving AI landscape. Hugging Face – Open LLM Leaderboard Why is LLM fine-tuning important?

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Large Language Models LLM Neural Network Prompt Engineering 295

AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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Generative AI Machine Learning AI AI 114

Marktechpost

MAY 10, 2024

Generative AI (GenAI) tools have come a long way. Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. In 2024, we can create anything imaginable using generative AI tools like ChatGPT, DALL-E, and others. However, there is a problem.

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Prompt Engineering Prompt Engineer Large Language Models Generative AI 138

Flipboard

FEBRUARY 13, 2025

You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition.

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Prompt Engineering Prompt Engineer Large Language Models LLM 158

Flipboard

MARCH 31, 2025

The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.

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LLM Automation Generative AI AI Automation 177

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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ML Generative AI AI AI 104

Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

JANUARY 7, 2025

However, the industry is seeing enough potential to consider LLMs as a valuable option. The following are a few potential benefits: Improved accuracy and consistency LLMs can benefit from the high-quality translations stored in TMs, which can help improve the overall accuracy and consistency of the translations produced by the LLM.

Large Language Models 112

Large Language Models Prompt Engineer Prompt Engineering Metadata 112

AWS Machine Learning Blog

AUGUST 2, 2024

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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Prompt Engineering Prompt Engineer LLM Generative AI 132

AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation.

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Generative AI Large Language Models AI AI 92

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. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications.

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Prompt Engineering Prompt Engineer LLM ChatGPT 98

AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise.

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Generative AI IDP LLM Automation 88

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

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LLM AI AI Data Scientist 94

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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Generative AI Large Language Models AI AI 248

IBM Journey to AI blog

OCTOBER 24, 2023

AI solutions for hybrid cloud system resiliency Now let’s look at some potential mitigating solutions for outages in hybrid cloud systems. Generative AI, along with other automation, can help greatly speed up phase gate decision-making (e.g., reviews, approvals, deployment artifacts, etc.),

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Generative AI AI AI Automation 215