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.

LLM 259

LLM Prompt Engineering Prompt Engineer Data Scarcity 259

Flipboard

MARCH 14, 2025

How prompt evaluation with a systematic approach composed of algorithmic testing with input/output data fixtures can make prompt engineering for complex AI tasks more reliable.

Prompt Engineering 152

Prompt Engineering Prompt Engineer LLM Algorithm 152

Unite.AI

MARCH 5, 2024

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. Let’s take a closer look at how RAG makes LLMs more accurate and reliable.

LLM 290

LLM Large Language Models Prompt Engineering Prompt Engineer 290

Unite.AI

OCTOBER 25, 2023

It demands substantial effort in data preparation, coupled with a difficult optimization procedure, necessitating a certain level of machine learning expertise. But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering. High-Level Concepts & some Insights 1.

LLM 304

LLM OpenAI Prompt Engineering Prompt Engineer 304

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.

LLM 115

LLM Large Language Models ML Algorithm 115

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.

LLM 103

LLM Generative AI Automation Machine Learning 103

Unite.AI

SEPTEMBER 19, 2024

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

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LLM Automation Large Language Models OpenAI 246

Towards AI

JUNE 9, 2024

Hands-On Prompt Engineering for LLMs Application Development Once such a system is built, how can you assess its performance? In this article, we will explore and share best practices for evaluating LLM outputs and provide insights into the experience of building these systems. Incremental Development of Test Sets1.2.

Prompt Engineering 103

Prompt Engineering Prompt Engineer LLM Machine Learning 103

Marktechpost

MAY 10, 2024

Still, it was only in 2014 that generative adversarial networks (GANs) were introduced, a type of Machine Learning (ML) algorithm that allowed generative AI to finally create authentic images, videos, and audio of real people. The main reason for that is the need for prompt engineering skills.

Prompt Engineering 138

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 138

AWS Machine Learning Blog

MARCH 13, 2025

Moreover, employing an LLM for individual product categorization proved to be a costly endeavor. The PydanticOutputParser requires a schema to be able to parse the JSON generated by the LLM. Prompt engineering Prompt engineering involves the skillful crafting and refining of input prompts.

Prompt Engineering 99

Prompt Engineering Prompt Engineer Categorization LLM 99

Towards AI

MAY 6, 2024

Setting Up Working Environment & Getting StartedChecking Harmful OutputChecking Instruction Following Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

Prompt Engineering 96

Prompt Engineering Prompt Engineer LLM OpenAI 96

AWS Machine Learning Blog

JANUARY 7, 2025

However, the industry is seeing enough potential to consider LLMs as a valuable option. This blog post with accompanying code presents a solution to experiment with real-time machine translation using foundation models (FMs) available in Amazon Bedrock.

Large Language Models 113

Large Language Models Prompt Engineering Prompt Engineer Metadata 113

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.

LLM 97

LLM AI AI Data Scientist 97

AWS Machine Learning Blog

AUGUST 2, 2024

The initial draft of a large language model (LLM) generated earnings call script can be then refined and customized using feedback from the company’s executives. Amazon Bedrock offers a straightforward way to build and scale generative AI applications with foundation models (FMs) and LLMs.

Prompt Engineering 132

Prompt Engineering Prompt Engineer LLM Generative AI 132

Marktechpost

FEBRUARY 16, 2025

Fine-tuning involves training LLMs with domain-specific data, but this process is time-intensive and requires significant computational resources. Retrieval-augmented generation ( RAG ) retrieves external knowledge to guide LLM outputs, but it does not fully address challenges related to structured problem-solving.

LLM 94

LLM Large Language Models Prompt Engineering Prompt Engineer 94

AWS Machine Learning Blog

FEBRUARY 14, 2024

It enables you to privately customize the FMs 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 complying with security and privacy requirements.

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Prompt Engineering Prompt Engineer Chatbots Generative AI 140

Towards AI

MAY 30, 2024

The Verbal Revolution: Unlocking Prompt Engineering with Langchain Peter Thiel, the visionary entrepreneur and investor, mentioned in a recent interview that the post-AI society may favour strong verbal skills over math skills. Buckle up, and let’s dive into the fascinating world of prompt engineering with Langchain!

Prompt Engineering 104

Prompt Engineering Prompt Engineer LLM Neural Network 104

Towards AI

NOVEMBER 7, 2024

P.S. We will soon release an extremely in-depth ~90-lesson practical full stack “LLM Developer” conversion course. Learn AI Together Community section! It also highlights ways to improve decision-making strategies through techniques like dynamic transition matrices, multi-agent MDPs, and machine learning for prediction.

Black Box AI 115

Black Box AI Machine Learning Prompt Engineering Prompt Engineer 115

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.

LLM 111

LLM Generative AI Machine Learning Prompt Engineer 111

Marktechpost

AUGUST 1, 2024

The primary issue addressed in the paper is the need for formal analysis and structured design principles for LLM-based algorithms. This approach is inefficient and lacks a theoretical foundation, making it difficult to optimize and accurately predict the performance of LLM-based algorithms.

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Algorithm LLM Machine Learning Prompt Engineering 121

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?

Prompt Engineering 98

Prompt Engineering Prompt Engineer Large Language Models Natural Language Processing 98

AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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Prompt Engineering Prompt Engineer Computer Vision Machine Learning 115

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. Part 1 focused on model fine-tuning.

LLM 81

LLM Generative AI AI AI 81

AI Weekly

APRIL 25, 2024

artificialintelligence-news.com Sponsor When Generative AI Gets It Wrong, TrainAI Helps Make It Right TrainAI provides prompt engineering, response refinement and red teaming with locale-specific domain experts to fine-tune generative AI. Planning a GenAI or LLM project? livescience.com Sponsor Planning a GenAI or LLM Project?

Robotics 264

Robotics LLM Prompt Engineering Prompt Engineer 264

Towards AI

FEBRUARY 13, 2024

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for… Read the full blog for free on Medium.

Prompt Engineering 98

Prompt Engineering Prompt Engineer LLM AI 98

Towards AI

JANUARY 3, 2025

Large Language Models (LLMs) like GPT-4, Claude-4, and others have transformed how we interact with data, enabling everything from analyzing research papers to managing business reports and even engaging in everyday conversations. However, to fully harness their capabilities, understanding the art of prompt engineering is essential.

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Prompt Engineering Prompt Engineer AI Development AI Developer 105

Flipboard

FEBRUARY 7, 2025

While building my own LLM-based application, I found many prompt engineering guides, but few equivalent guides for determining the temperature setting. Of course, temperature is a simple numerical value while prompts can get mindblowingly complex, so it may feel trivial as a product decision.

Data Science 147

Data Science LLM Prompt Engineering Prompt Engineer 147

Towards AI

MARCH 11, 2024

Prompt Engineering for Instruction-Tuned LLM Large language models excel at translation and text transformation, effortlessly converting input from one language to another or aiding in spelling and grammar corrections. Last Updated on March 13, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI.

Prompt Engineering 97

Prompt Engineering Prompt Engineer Large Language Models Data Science 97

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

Towards AI

FEBRUARY 20, 2024

However as long as you have a good process to iteratively make your prompt better, then you’ll be able to come to something that works well for the task you want to achieve. You may have heard that when training a machine learning model, it rarely works the first time. Prompting also does not usually work from the first time.

Prompt Engineering 116

Prompt Engineering Prompt Engineer Large Language Models LLM 116

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. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.

LLM 97

LLM Prompt Engineering Prompt Engineer Generative AI 97

Towards AI

FEBRUARY 9, 2023

This is prompt engineering. While we expect the meaning and methods to evolve, we think it could become a key skill and might even become a common standalone job title as AI, Machine Learning, and LLMs become increasingly integrated into everyday tasks.

Prompt Engineering 98

Prompt Engineering Prompt Engineer Large Language Models Machine Learning 98

Towards AI

FEBRUARY 9, 2023

This is prompt engineering. While we expect the meaning and methods to evolve, we think it could become a key skill and might even become a common standalone job title as AI, Machine Learning, and LLMs become increasingly integrated into everyday tasks.

Prompt Engineering 98

Prompt Engineering Prompt Engineer Large Language Models Machine Learning 98

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.

ESG 118

ESG Generative AI LLM Prompt Engineering 118

Towards AI

FEBRUARY 13, 2024

Leading this revolution is ChatGPT, a state-of-the-art large language model (LLM) developed by OpenAI. Understanding Prompt Engineering At the heart of effectively leveraging ChatGPT lies ‘prompt engineering’ — a crucial skill that involves crafting specific inputs or prompts to guide the AI in producing the desired outputs.

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Prompt Engineering Prompt Engineer ChatGPT Large Language Models 105

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. Prompt engineering is the process of coming up with the best possible sentence or piece of text to ask LLMs, such as ChatGPT, to get back the best possible response.

Prompt Engineering 98

Prompt Engineering Prompt Engineer Large Language Models Explainability 98

Marktechpost

AUGUST 5, 2024

Large Language Models (LLMs) have revolutionized problem-solving in machine learning, shifting the paradigm from traditional end-to-end training to utilizing pretrained models with carefully crafted prompts. The VML framework offers several advantages over traditional numerical machine learning approaches.

Machine Learning 120

Machine Learning Neural Network LLM Prompt Engineering 120