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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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 OpenAI Large Language Models 246

Unite.AI

OCTOBER 2, 2023

Research has shown that large pre-trained language models (LLMs) are also repositories of factual knowledge. 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.

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LLM Prompt Engineer Prompt Engineering Large Language Models 298

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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Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

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? They streamline prompt development, shaping how AI responds to users across industries.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

ODSC - Open Data Science

OCTOBER 3, 2023

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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Prompt Engineer Prompt Engineering Large Language Models Data Science 97

ODSC - Open Data Science

NOVEMBER 4, 2024

This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. I always start by creating a Docker image of my LLM service.

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Prompt Engineer Prompt Engineering BERT Large Language Models 52

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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Prompt Engineer Prompt Engineering LLM Data Science 52

Artificial Corner

JULY 23, 2024

In this week’s guest post, Diana is sharing with us free prompt engineering courses to master ChatGPT. As you might know, prompt engineering is a skill that you need to have to master ChatGPT. Here are the best free prompt engineering resources on the internet. Check them out!

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Prompt Engineer Prompt Engineering ChatGPT OpenAI 64

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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Prompt Engineer Prompt Engineering Large Language Models Chatbots 52

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.

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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.

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LLM OpenAI Prompt Engineer Prompt Engineering 304

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.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

ODSC - Open Data Science

JULY 31, 2023

With the explosion in user growth with AIs such as ChatGPT and Google’s Bard , prompt engineering is fast becoming better understood for its value. If you’re unfamiliar with the term, prompt engineering is a crucial technique for effectively utilizing text-based large language models (LLMs) like ChatGPT and Bard.

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Prompt Engineer Prompt Engineering LLM ChatGPT 52

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. ChatGPT showed people what are the possibilities of NLP and AI in general. ChatGPT showed people what are the possibilities of NLP and AI in general.

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Prompt Engineer Prompt Engineering Large Language Models Explainability 83

Marktechpost

JULY 26, 2024

The inherent complexity of SQL syntax and the intricacies involved in database schema understanding make this a significant problem in natural language processing (NLP) and database management. The proposed method in this paper leverages LLMs for Text-to-SQL tasks through two main strategies: prompt engineering and fine-tuning.

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LLM Prompt Engineer Prompt Engineering Large Language Models 122

Heartbeat

AUGUST 25, 2023

Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. However; current prompt engineering workflows are incredibly tedious and cumbersome. Logging prompts and their outputs to .csv First install the package via pip.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

ODSC - Open Data Science

AUGUST 17, 2023

Evolving Trends in Prompt Engineering, a Primer to Scaling Pandas, and Enriching ERP with Generative AI Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices In this blog post, our objective is to illuminate the constantly evolving research around the LLMs space, including prompt engineering.

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Prompt Engineer Prompt Engineering Natural Language Processing Artificial Intelligence 52

Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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LLM NLP Large Language Models OpenAI 135

ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. In addition, we’ll discuss a variety of tools that form the modern LLM application development stack.

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Prompt Engineer Prompt Engineering Data Science NLP 52

John Snow Labs

MAY 21, 2024

Furthermore, some terms of use from LLM providers prohibit the use of their LLMs for training specialized models. The Generative AI Lab features zero-shot prompts and LLMs that can operate completely within an organization’s firewall. Navigate to the Reuse-Resource Page and add the desired rules.

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Prompt Engineer Prompt Engineering Generative AI LLM 52

Marktechpost

JULY 12, 2024

Natural Language Processing (NLP) focuses on the interaction between computers and humans through natural language. It encompasses tasks such as translation, sentiment analysis, and question answering, utilizing large language models (LLMs) to achieve high accuracy and performance. Check out the Paper.

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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 85

Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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LLM Prompt Engineer Prompt Engineering Large Language Models 120

Unite.AI

NOVEMBER 3, 2023

Introduction Prompt engineering focuses on devising effective prompts to guide Large Language Models (LLMs) such as GPT-4 in generating desired responses. A well-crafted prompt can be the difference between a vague or inaccurate answer and a precise, insightful one.

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Prompt Engineer Prompt Engineering Large Language Models LLM 147

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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LLM Generative AI ML Natural Language Processing 124

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. Figure 1 depicts a sample of the summarising job.

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LLM AI Research AI Researcher Prompt Engineer 98

Towards AI

SEPTEMBER 10, 2023

Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.

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LLM Prompt Engineer Prompt Engineering Large Language Models 98

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

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Large Language Models Prompt Engineer Prompt Engineering BERT 147

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Prompt engineering is crucial to steering LLMs effectively.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

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LLM Large Language Models Chatbots Natural Language Processing 243

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. While effective in various NLP tasks, few LLMs, such as Flan-T5, adopt this architecture.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Effective prompt engineering is key to developing natural language to SQL systems. The following diagram illustrates a basic Text2SQL flow.

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Prompt Engineer Prompt Engineering Generative AI LLM 134

Towards AI

MARCH 17, 2023

Large Language Models (LLMs) have come a long way in recent years. From fluent dialogue generation to text summarisation, and article generation, language models have made it extremely easy for anyone to build an NLP-powered product. The LLM itself can be conveniently accessed through a simple API call.

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NLP LLM Large Language Models Prompt Engineer 86

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. At the recent NLP Summit, experts from academia and industry shared their insights.

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Ehud Reiter

SEPTEMBER 8, 2024

The most important take-home message was that there are many ways to build an NLG system, and using the latest LLM is not always the best option ( blog ). There is an unfortunate tendancy in NLP for researchers to evalate things which are easy to measure even if users have little interest in them; I hope I convinced attendees not to do this.

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