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 Engineering 266

Prompt Engineering Prompt Engineer Large Language Models LLM 266

Analytics Vidhya

JULY 12, 2024

As Large Language Models (LLMs) like Claude, GPT-3, and GPT-4 become more sophisticated, how we interact with them has evolved into a precise science. No longer just an art, creating effective prompts has become essential to harnessing the […] The post What is Self-Consistency in Prompt Engineering?

Prompt Engineering 230

Prompt Engineering Prompt Engineer Large Language Models AI Modeling 230

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 Engineering 246

Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

Analytics Vidhya

JULY 28, 2023

Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications.

Prompt Engineering 183

Prompt Engineering Prompt Engineer LLM Python 183

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 Engineering 174

Prompt Engineering Prompt Engineer LLM 174

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 Engineering 162

Prompt Engineering Prompt Engineer LLM Auto-complete 162

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

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 249

LLM Prompt Engineering Prompt Engineer Large Language Models 249

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?

Prompt Engineering 123

Prompt Engineering Prompt Engineer Large Language Models AI Chatbots 123

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 298

LLM Prompt Engineer Prompt Engineering Large Language Models 298

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 Engineer Prompt Engineering Data Scarcity 259

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 Engineering 138

Prompt Engineering Prompt Engineer Large Language Models Generative AI 138

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

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 Engineering 125

Prompt Engineering Prompt Engineer Chatbots AI Chatbots 125

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 119

Prompt Engineering Prompt Engineer LLM Generative AI 119

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 214

LLM ChatGPT Prompt Engineering Prompt Engineer 214

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 304

LLM OpenAI Prompt Engineering Prompt Engineer 304

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. 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 Engineering 114

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 114

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 278

Large Language Models LLM OpenAI Prompt Engineering 278

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 Engineering 299

Prompt Engineering Prompt Engineer LLM Python 299

Marktechpost

MARCH 4, 2024

Despite advancements, prompt sensitivity remains a hurdle, especially in proprietary models where version changes can alter behavior significantly. Balancing prompt optimization with practical constraints is essential for real-world LLM applications. Estimators support various tasks like human annotation and LLM estimation.

Prompt Engineering 90

Prompt Engineering Prompt Engineer Automation LLM 90

Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs). This framework is designed to help users create better prompts with minimal manual intervention & optimize prompt engineering for better results.

Prompt Engineering 268

Prompt Engineering Prompt Engineer Large Language Models AI Research 268

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

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

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.

Prompt Engineering 108

Prompt Engineering Prompt Engineer Computer Vision Machine Learning 108

Marktechpost

JUNE 21, 2024

In this article we will explain a number of sophisticated prompt engineering strategies, simplifying these difficult ideas through straightforward human metaphors. Graph of Thoughts (GoT) Graph of Thoughts models data as an arbitrary graph to enhance prompting capabilities. Examples include CoVe and Self-Consistency.

Prompt Engineering 102

Prompt Engineering Prompt Engineer Explainability Large Language Models 102

Towards AI

FEBRUARY 20, 2024

In this article, we will explore the process of getting to prompts that work for your application through iterative development. 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 you.

Prompt Engineering 96

Prompt Engineering Prompt Engineer Large Language Models LLM 96

Unite.AI

OCTOBER 19, 2023

GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. Even small changes in the prompt can make the model give very different answers. This is called prompt engineering.

Prompt Engineering 277

Prompt Engineering Prompt Engineer Large Language Models Natural Language Processing 277

Marktechpost

DECEMBER 7, 2023

Since then, several studies have tried to address LLM honesty by delving into a model’s internal state to find truthful representations. These treatments are resilient over several dataset splits and prompts. Proposals for recent black box techniques have also been made to identify and provoke massive language model lying.

Large Language Models 114

Large Language Models Prompt Engineering Prompt Engineer Neural Network 114

Unite.AI

SEPTEMBER 27, 2023

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. Every financial service aims to craft its own fine-tuned LLMs using open-source models like LLAMA 2 or Falcon.

Generative AI 304

Generative AI Large Language Models Prompt Engineering Prompt Engineer 304

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 182

LLM Chatbots Automation Prompt Engineering 182

Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

LLM 173

LLM Large Language Models Prompt Engineering Prompt Engineer 173

Towards AI

SEPTEMBER 6, 2023

How to modify your text prompt to obtain the best from an LLM without training This member-only story is on us. Last Updated on September 7, 2023 by Editorial Team Author(s): Salvatore Raieli Originally published on Towards AI. Upgrade to access all of Medium.

Large Language Models 115

Large Language Models Prompt Engineering Prompt Engineer LLM 115

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 Engineer 214

Unite.AI

JULY 22, 2024

And it’s only as effective as the prompts you give it. I recently asked ChatGPT how to develop your prompt engineering skills. The first response was: “Experimentation and Iteration: Continuously experiment with different types of prompts and refine them based on the AI's outputs.

ChatGPT 278

ChatGPT Prompt Engineer Prompt Engineering Explainability 278

Unite.AI

APRIL 26, 2024

Parameter Count : The number of parameters in a decoder-based LLM is primarily determined by the embedding dimension (d_model), the number of attention heads (n_heads), the number of layers (n_layers), and the vocabulary size (vocab_size).

Large Language Models 277

Large Language Models Prompt Engineering Prompt Engineer Neural Network 277

AssemblyAI

MARCH 8, 2024

Join Us On Discord ⚡️LeMUR Docs Update Our LeMUR documentation received a significant update with a new focus on tutorials and prompt engineering guides. Additionally, we've introduced a dedicated prompt engineering guide with curated prompt examples to effectively utilize LeMUR.

Neural Network 147

Neural Network LLM Prompt Engineering Prompt Engineer 147