Unite.AI

FEBRUARY 23, 2024

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

Prompt Engineer 270

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 270

Analytics Vidhya

MAY 31, 2023

Introduction Prompt engineering is a relatively new field focusing on creating and improving prompts for using language models (LLMs) effectively across various applications and research areas.

Prompt Engineer 318

Prompt Engineer Prompt Engineering Large Language Models LLM 318

Unite.AI

NOVEMBER 14, 2024

The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are often costly, slow, and limited by the volume of responses they can feasibly assess. Here, the LLM-as-a-Judge approach stands out: it allows for nuanced evaluations on complex qualities like tone, helpfulness, and conversational coherence.

LLM 179

LLM Chatbots Automation Prompt Engineer 179

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 Engineer 97

Prompt Engineer Prompt Engineering Data Scientist Large Language Models 97

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. This makes us all prompt engineers to a certain degree. Venture capitalists are pouring funds into startups focusing on prompt engineering, like Vellum AI.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Imagine you're trying to translate English to French.

Prompt Engineer 246

Prompt Engineer Prompt Engineering 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.

LLM 305

LLM Prompt Engineer Prompt Engineering Large Language Models 305

Flipboard

JANUARY 2, 2024

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

Prompt Engineer 174

Prompt Engineer Prompt Engineering LLM 174

Flipboard

JANUARY 6, 2025

With large language model (LLM) products such as ChatGPT and Gemini taking over the world, we need to adjust our skills to follow the trend. One skill we need in the modern era is prompt engineering. Prompt engineering is the strategy of designing effective prompts that optimize the performance and output of LLMs.

Prompt Engineer 164

Prompt Engineer Prompt Engineering Large Language Models LLM 164

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.

LLM 296

LLM Prompt Engineering Prompt Engineer Large Language Models 296

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 257

LLM Prompt Engineering Prompt Engineer Data Scarcity 257

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.

LLM 273

LLM ChatGPT Prompt Engineer Prompt Engineering 273

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 Engineer 151

Prompt Engineer Prompt Engineering LLM Algorithm 151

Unite.AI

MAY 27, 2024

Prompt engineering , the art and science of crafting prompts that elicit desired responses from LLMs, has become a crucial area of research and development. In this comprehensive technical blog, we'll delve into the latest cutting-edge techniques and strategies that are shaping the future of prompt engineering.

Prompt Engineer 159

Prompt Engineer Prompt Engineering LLM Auto-complete 159

Towards AI

NOVEMBER 14, 2024

This week, I am super excited to finally announce that we released our first independent industry-focus course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates, and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons).

LLM 116

LLM Machine Learning Python Prompt Engineer 116

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 Engineer 178

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 178

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.

LLM 116

LLM Software Development Machine Learning Data Scientist 116

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 287

LLM Large Language Models Prompt Engineer Prompt Engineering 287

Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering.

LLM 302

LLM OpenAI Prompt Engineer Prompt Engineering 302

Unite.AI

JUNE 30, 2023

Large Language Model (LLM) technology will play a significant role in the development of future applications. LLMs are very good at understanding language because of the extensive pre-training that has been done for foundation models on trillions of lines of public domain text, including code. Let’s look at these various levels.

Large Language Models 276

Large Language Models LLM OpenAI Prompt Engineer 276

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.

LLM 246

LLM Automation Large Language Models OpenAI 246

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 113

LLM Large Language Models ML Algorithm 113

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 Engineer 103

Prompt Engineer Prompt Engineering LLM Machine Learning 103

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 93

LLM Large Language Models Prompt Engineer Prompt Engineering 93

Ehud Reiter

MARCH 13, 2025

Even the better venues (like the Economist) highlight LLM benchmarks which have little relevance to how people actually use LLMs ( blog ). I guess the focus of media/etc is on attracting eyeballs instead of educating people… Anyways, below are a few suggestions on how people perhaps could assess whether LLMs can help them.

LLM 148

LLM Software Development Prompt Engineer Prompt Engineering 148

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 101

LLM Generative AI Automation Machine Learning 101

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.

Prompt Engineering 159

Prompt Engineering Prompt Engineer Large Language Models LLM 159

Marktechpost

MAY 10, 2024

The main reason for that is the need for prompt engineering skills. Generative AI can produce new content, but you need proper prompts; hence, jobs like prompt engineering exist. Prompt engineering produces an optical out of artificial intelligence (AI) using carefully designed and refined inputs.

Prompt Engineer 138

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 138

Marktechpost

MARCH 5, 2025

Researchers from Stanford University and the University of Wisconsin-Madison introduce LLM-Lasso, a framework that enhances Lasso regression by integrating domain-specific knowledge from LLMs. Unlike previous methods that rely solely on numerical data, LLM-Lasso utilizes a RAG pipeline to refine feature selection.

Large Language Models 78

Large Language Models LLM Machine Learning Prompt Engineer 78

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 Engineer 132

Prompt Engineer Prompt Engineering LLM Generative AI 132

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 95

LLM AI AI Data Scientist 95

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

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 Engineer 104

Prompt Engineer Prompt Engineering LLM Neural Network 104

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.

Prompt Engineer 140

Prompt Engineer Prompt Engineering Generative AI Chatbots 140

Flipboard

JANUARY 24, 2025

Contrast that with Scope 4/5 applications, where not only do you build and secure the generative AI application yourself, but you are also responsible for fine-tuning and training the underlying large language model (LLM). LLM and LLM agent The LLM provides the core generative AI capability to the assistant.

Generative AI 158

Generative AI LLM AI AI 158

Analytics Vidhya

OCTOBER 9, 2023

Let’s embark on a journey to understand the intricacies of fine-tuning […] The post LLM Fine Tuning with PEFT Techniques appeared first on Analytics Vidhya. They are powerful AI systems designed to generate human-like text and comprehend and respond to natural language inputs.

LLM 214

LLM Large Language Models Natural Language Processing Prompt Engineering 214

AssemblyAI

JULY 19, 2024

Sonnet, recently announced by Anthropic , sets new industry benchmarks for many LLM tasks. call transcript.lemur.task() , a flexible endpoint that allows you to specify any prompt. Sonnet, specify aai.LemurModel.claude3_5_sonnet for the model when calling the LLM. In this tutorial, you'll learn how to use Claude 3.5

Prompt Engineer 299

Prompt Engineer Prompt Engineering LLM Python 299