Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? The output produced by language models varies significantly with the prompt served. This article discusses the prompt structure, its different types, and some recommended tips for effective prompt writing.

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Marktechpost

JULY 4, 2023

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 is the text fed to the Large Language Model. Prompt engineering involves designing a prompt for a satisfactory response from the model.

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Towards AI

APRIL 10, 2023

It’s worth noting that prompt engineering plays a critical role in the success of training such models. In carefully crafting effective “prompts,” data scientists can ensure that the model is trained on high-quality data that accurately reflects the underlying task. Some examples of prompts include: 1.

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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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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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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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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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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. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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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.

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ODSC - Open Data Science

AUGUST 24, 2023

Bayesian Customer Lifetime Values Modeling using PyMC3 This article is all about implementing BG-NBD, a probabilistic hierarchical model, using PyMC3 to analyze customer purchase behavior. A Primer on Combinations and Permutations Here’s a concise description of combinations and permutations and their differences.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. To get you started on your journey, we’ve released a new on-demand Introduction to NLP course. Here are some more details.

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John Snow Labs

MAY 21, 2024

The post Prompt Engineering for Visual Document Understanding in the No-Code Generative AI Lab appeared first on John Snow Labs. To set up your project for rule-based pre-annotation, follow these straightforward steps: Create a Visual NER Project. Navigate to the Reuse-Resource Page and add the desired rules.

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Analytics Vidhya

JANUARY 4, 2024

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. This article explores […] The post Exploring the Use of LLMs and BERT for Language Tasks appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 2, 2023

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. They've been trained on so much data that they've absorbed a lot of facts and figures.

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Towards AI

AUGUST 6, 2024

Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies. Author(s): Youssef Hosni Originally published on Towards AI.

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Analytics Vidhya

JULY 7, 2023

Introduction Natural Language Processing (NLP) models have become increasingly popular in recent years, with applications ranging from chatbots to language translation. However, one of the biggest challenges in NLP is reducing ChatGPT hallucinations or incorrect responses generated by the model.

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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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John Snow Labs

OCTOBER 12, 2023

We are thrilled to release NLP Lab 5.4 which brings a host of exciting enhancements to further empower your NLP journey. Publish Models Directly into Models HUB We’re excited to introduce a streamlined way to publish NLP models to the NLP Models HUB directly from NLP Lab.

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Towards AI

MARCH 17, 2023

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. All that is needed is a carefully constructed prompt that is able to extract the required functionality out of the LLM. Image generated with Stable Diffusion.

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures. But how do we evaluate the effectiveness of these generative AI models […] The post Evaluation of GenAI Models and Search Use Case appeared first on Analytics Vidhya.

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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). At the recent NLP Summit, experts from academia and industry shared their insights. At the recent NLP Summit, experts from academia and industry shared their insights.

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Marktechpost

JUNE 8, 2024

This article lists the top Microsoft AI courses that provide essential skills for excelling in the field of artificial intelligence. Apply prompt engineering with Azure OpenAI Service This course teaches prompt engineering in Azure OpenAI, focusing on designing and optimizing prompts to enhance model performance.

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ODSC - Open Data Science

DECEMBER 19, 2023

Prompt Engineer Prompt engineers are in the wild west of AI. These professionals are responsible for creating and maintaining prompts for AI models, redlining, and finetuning models through tests and prompt work. That’s because prompt engineers can be found with a multitude of backgrounds.

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Towards AI

MARCH 4, 2023

Pre-train, Prompt, and Predict — Part1 The 4 Paradigms in NLP (This is a multi-part series describing the prompting paradigm in NLP. Being a survey paper, they have given a holistic explanation of this latest paradigm in NLP. That’s all for Part 1!!

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Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

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Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field.

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Marktechpost

MAY 30, 2024

This article lists the top AI courses by Google that provide comprehensive training on various AI and machine learning technologies, equipping learners with the skills needed to excel in the rapidly evolving field of AI. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

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ODSC - Open Data Science

AUGUST 21, 2023

Though some positions may require extensive training and understanding of fields such as math, NLP , machine learning principles, and more, others seem to only require a fundamental understanding of AI with a greater emphasis on creativity. So it’s no wonder that the company is in search of a data scientist to specialize in NLP.

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AWS Machine Learning Blog

MAY 7, 2024

With SageMaker JumpStart, you can evaluate, compare, and select FMs quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation. Prompt engineering relies on large pretrained language models that have been trained on massive amounts of text data.

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Marktechpost

AUGUST 13, 2023

Speech Recognition is one of the recently developed techniques in the NLP domain. Transformers in NLP also played a major role in implementing this model. Prompt engineers and many researchers also found that the model could update over the upcoming weeks in terms of speed, accuracy, and good F1 score.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). With Amazon Bedrock, you can integrate advanced NLP features, such as language understanding, text generation, and question answering, into your applications.

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ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

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Flipboard

JUNE 17, 2023

Surprisingly, most methods for narrowing the performance gap, such as prompt engineering and active example selection, only target the LLM’s learned representations. across various NLP tasks. Prove that Tart is effective for various model families across NLP tasks. Check Out The Paper and Github link.

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ODSC - Open Data Science

JULY 12, 2024

The fields of AI and data science are changing rapidly and ODSC West 2024 is evolving to ensure we keep you at the forefront of the industry with our all-new tracks, AI Agents , What’s Next in AI, and AI in Robotics , and our updated tracks NLP, NLU, and NLG , and Multimodal and Deep Learning , and LLMs and RAG.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. This article dives deep into this evolving landscape, assessing the implications, potential, and challenges that lie ahead.

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AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results.

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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Natural Language Processing (NLP) is a subfield of artificial intelligence. Prompts design is a process of creating prompts which are the instructions and context that are given to Large Language Models to achieve the desired task.

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