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 Engineering Prompt Engineer ChatGPT OpenAI 97

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. user: I would like the Center of town please.

Generative AI 120

Generative AI Prompt Engineer Prompt Engineering Data Scientist 120

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.

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Prompt Engineering Prompt Engineer Natural Language Processing Large Language Models 114

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.

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Prompt Engineering Prompt Engineer LLM ChatGPT 98

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

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Prompt Engineering Prompt Engineer Large Language Models LLM 113

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 Engineering Prompt Engineer Neural Network 272

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. Self-Consistency-like approaches that can be used to improve the performance of chain-of-thought prompting in different tasks. ?

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Prompt Engineering Prompt Engineer OpenAI ChatGPT 83

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 Engineering Prompt Engineer Large Language Models Explainability 98

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 fusion empowers the model to generate contextually relevant responses grounded in accurate information. How Retrieval Augmented Generation Works?

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LLM Large Language Models Chatbots Natural Language Processing 243

Unite.AI

SEPTEMBER 27, 2023

FINGPT FinGPT's Operations : Data Sourcing and Engineering : Data Acquisition : Uses data from reputable sources like Yahoo, Reuters, and more, FinGPT amalgamates a vast array of financial news, spanning US stocks to CN stocks. The bank is exploring the power of generative AI to fortify its software engineering domain.

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Generative AI Large Language Models Prompt Engineering Prompt Engineer 299

AWS Machine Learning Blog

DECEMBER 23, 2024

In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. Capturing complex human queries with graphs Human questions are inherently complex, often requiring the connection of multiple pieces of information.

Generative AI 119

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 119

Towards AI

FEBRUARY 7, 2025

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. It involves identifying and labeling text with additional information to specify the role of words or sentences in the given context. Upgrade to access all of Medium.

NLP 98

NLP Prompt Engineering Prompt Engineer Machine Learning 98

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?

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Prompt Engineering Prompt Engineer Natural Language Processing NLP 52

AWS Machine Learning Blog

JANUARY 30, 2025

The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock. By thoughtfully designing prompts, practitioners can unlock the full potential of generative AI systems and apply them to a wide range of real-world scenarios.

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Prompt Engineer Prompt Engineering Generative AI Software Development 81

Unite.AI

OCTOBER 25, 2023

But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering. Moreover, the amount of context that can be provided in a single prompt is limited, and the LLM’s performance may degrade as the complexity of the task increases.

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LLM OpenAI Prompt Engineering Prompt Engineer 299

Analytics Vidhya

APRIL 8, 2023

Introduction Are you a data scientist looking for an exciting and informative read? Look no further, because I’ve got a treat for you! My latest blog post is jam-packed with fun and innovative experiments that I conducted with ChatGPT over the weekend.

Data Scientist 358

Data Scientist ChatGPT Prompt Engineering Prompt Engineer 358

IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making.

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Generative AI AI AI Chatbots 343

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 Engineering Prompt Engineer Large Language Models LLM 144

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. This spike in NLP underscores its central role in the development and application of generative AI technologies.

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Prompt Engineer Prompt Engineering NLP Generative AI 176

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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Science LLM 52

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 Engineering Prompt Engineer Generative AI LLM 134

AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

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Generative AI LLM Large Language Models Software Engineer 111

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

Responsible AI 100

Responsible AI AI Tools AI AI 100

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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer LLM Data Science 52

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. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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Auto-complete ChatGPT Large Language Models Neural Network 240

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL.

LLM 89

LLM Prompt Engineer Prompt Engineering Generative AI 89

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. With further research intoprompt engineering and synthetic data quality, this methodology could greatly advance multilingual text embeddings. Average 64.2

Large Language Models 144

Large Language Models Prompt Engineering Prompt Engineer BERT 144

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.

NLP 98

NLP LLM Large Language Models Prompt Engineer 98

Unite.AI

JUNE 11, 2024

They aim to decrypt or recover as much hidden or deleted information as possible. Since devices store information every time their user downloads something, visits a website or creates a post, a sort of electronic paper trail exits. Investigators can train or prompt it to seek case-specific information.

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NLP Automation Algorithm AI 144

AWS Machine Learning Blog

JUNE 25, 2024

Unlike traditional natural language processing (NLP) approaches, such as classification methods, LLMs offer greater flexibility in adapting to dynamically changing categories and improved accuracy by using pre-trained knowledge embedded within the model.

Automation 116

Automation Prompt Engineer Prompt Engineering Categorization 116

IBM Journey to AI blog

SEPTEMBER 28, 2023

. “Its inherent flexibility and agile deployment capabilities, coupled with a robust commitment to information security, accentuates its appeal.” included the Slate family of encoder-only models useful for enterprise NLP tasks. ” The initial release of watsonx.ai

Generative AI 248

Generative AI Large Language Models AI AI 248

Marktechpost

MAY 28, 2024

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). Existing methods for improving LLM performance on reasoning tasks include various forms of prompt engineering. Check out the Paper.

Large Language Models 126

Large Language Models Prompt Engineer Prompt Engineering LLM 126

Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Large Language Models Natural Language Processing Deep Learning Prompt Engineer 122

Flipboard

JUNE 17, 2023

Is the gap caused by a lack of information in the representations or by the LLMs’ inability to analyze them? 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.

LLM 145

LLM Large Language Models NLP Prompt Engineer 145

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. As LLMs become integral to AI applications, ethical considerations take center stage.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

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. Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes.

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Generative AI Deep Learning Algorithm AI 291

Marktechpost

MAY 30, 2024

It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130