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AI NLP Prompt Engineering 
Analytics Vidhya
JUNE 28, 2023
In recent years, and especially since the start of 2022, Natural Language Processing (NLP) and Generative AI have experienced improvements. This made prompt engineering a particular skill to understand for anyone to master language models (LMs).
Analytics Vidhya
MARCH 21, 2024
In today’s rapidly evolving digital landscape, natural language processing (NLP) technologies like ChatGPT have become integral parts of our daily lives. From customer service chatbots to smart assistants, these AI-powered systems are revolutionizing how we interact with technology.
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Analytics Vidhya
JULY 26, 2024
Introduction Mastering prompt engineering has become crucial in Natural Language Processing (NLP) and artificial intelligence. This skill, a blend of science and artistry, involves crafting precise instructions to guide AI models in generating desired outcomes. appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 17, 2024
Introduction As the field of artificial intelligence (AI) continues to evolve, prompt engineering has emerged as a promising career. Are you wondering where to start and how to go about […] The post Learning Path to Become a Prompt Engineering Specialist appeared first on Analytics Vidhya.
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.
Analytics Vidhya
JUNE 1, 2023
Introduction In today’s digital age, language models have become the cornerstone of countless advancements in natural language processing (NLP) and artificial intelligence (AI). Language models […] The post Unleash the Power of Prompt Engineering: Supercharge Your Language Models!
Analytics Vidhya
SEPTEMBER 6, 2024
This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts. Despite being trained on vast datasets, LLMs can falter with nuanced or context-heavy queries, leading to […] The post How Can Prompt Engineering Transform LLM Reasoning Ability?
Analytics Vidhya
APRIL 28, 2023
Mastering Prompt Engineering With OpenAI’s ChatGPT OpenAI is a cutting-edge artificial intelligence research organization backed by Microsoft. It has introduced a new short course on prompt engineering for developers utilizing its state-of-the-art language model, ChatGPT.
Unite.AI
AUGUST 1, 2023
The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Such sophisticated and accessible AI models are poised to redefine the future of work, learning, and creativity. The Impact of Prompt Quality Using well-defined prompts is the key to engaging in useful and meaningful conversations with AI systems.
Unite.AI
JULY 26, 2023
Since its launch, ChatGPT has been making waves in the AI sphere, attracting over 100 million users in record time. 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.
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. Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants.
Artificial Corner
JULY 7, 2023
Unlocking the Power of AI Language Models through Effective Prompt Crafting Midjourney In the world of artificial intelligence (AI), one of the most exciting and rapidly evolving areas is Natural Language Processing (NLP). What is Prompt Engineering? is the prompt.
AWS Machine Learning Blog
NOVEMBER 29, 2024
Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Sonnet models, Meta’s Llama 3 70B and Llama 3.1
135 
ODSC - Open Data Science
AUGUST 29, 2023
Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.
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.
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 ?
Towards AI
APRIL 10, 2023
Last Updated on April 12, 2023 by Editorial Team Author(s): Supreet Kaur Originally published on Towards AI. Photo by Unsplash.com The launch of ChatGPT has sparked significant interest in generative AI, and people are becoming more familiar with the ins and outs of large language models. Some examples of prompts include: 1.
APRIL 18, 2023
Next generation artificial intelligence isn’t the existential threat to tech jobs the AI doomers imagined it would be. In fact, Natural Language Processing (NLP) tools such as OpenAI’s ChatGPT, Google Bard, and Bing Chat are not only revolutionising how we access and share … Everybody can breathe out.
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.
Unite.AI
SEPTEMBER 27, 2023
Generative AI refers to models that can generate new data samples that are similar to the input data. 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.
304 
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.
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.
Artificial Corner
JULY 23, 2024
In this week’s guest post, Diana is sharing with us free prompt engineering courses to master ChatGPT. Diana runs a Substack called AI Girl , a weekly newsletter that helps you learn how to use AI in different areas. As you might know, prompt engineering is a skill that you need to have to master ChatGPT.
Marktechpost
AUGUST 11, 2024
Artificial intelligence, particularly natural language processing (NLP), has become a cornerstone in advancing technology, with large language models (LLMs) leading the charge. However, the true potential of these LLMs is realized through effective prompt engineering.
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. Let’s explore the tactics to follow these crucial principles of prompt engineering and other best practices.
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.
121 
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.
298 
AWS Machine Learning Blog
JANUARY 30, 2025
The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.
102 
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. If this reasoning process is explained with examples, the AI can generally achieve more accurate results.
Great Learning
JUNE 20, 2023
Introduction In the realm of natural language processing (NLP), Prompt engineering has emerged as a powerful technique to enhance the performance and adaptability of language models. By carefully designing prompts, we can shape the behavior and output of these models to achieve specific tasks or generate targeted responses.
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.
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.
AWS Machine Learning Blog
DECEMBER 5, 2024
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.
110 
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.
302 
IBM Journey to AI blog
FEBRUARY 13, 2024
Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”
343 
AWS Machine Learning Blog
DECEMBER 23, 2024
Customers need better accuracy to take generative AI applications into production. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.
132 
Pickl AI
JANUARY 7, 2025
Summary: Prompt Engineers play a crucial role in optimizing AI systems by crafting effective prompts. It also highlights the growing demand for Prompt Engineers in various industries. Introduction The demand for Prompt Engineering in India has surged dramatically. What is Prompt Engineering?
Towards AI
FEBRUARY 7, 2025
Last Updated on February 7, 2025 by Editorial Team Author(s): Nabanita Roy Originally published on Towards AI. This article explores how prompt engineering & LLMs offer a digital, quick, and better annotation approach over manual ones This member-only story is on us. Join thousands of data leaders on the AI newsletter.
98 
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. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.
240 
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. Since the groundbreaking ‘Attention is all you need’ paper in 2017, the Transformer architecture, notably exemplified by ChatGPT, has become pivotal.
271 
Unite.AI
SEPTEMBER 25, 2023
However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.
296 
IBM Journey to AI blog
JUNE 14, 2023
Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. This is often a very cumbersome exercise that takes significant amount of time to field an AI solution that yields business value.
258 
AWS Machine Learning Blog
JANUARY 22, 2025
In this post, we demonstrate how we used Amazon Bedrock , a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Fine-tuning Train the FM on data relevant to the task. He completed an M.Sc.
113 
AWS Machine Learning Blog
JANUARY 4, 2024
Generative AI has opened up a lot of potential in the field of AI. 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.
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