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. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 113

Marktechpost

MARCH 21, 2024

The intersection of artificial intelligence and human-like understanding has always been a fascinating domain, especially when empowering large language models (LLMs) to function as agents that interact, reason, and make decisions like humans. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Large Language Models Artificial Intelligence Artificial Intelligence Prompt Engineer 97

Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? While users initially experimented with different commands on their own, they began to push the limits of the language model’s capabilities day by day, producing more and more surprising outputs each time.

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Prompt Engineer Prompt Engineering OpenAI ChatGPT 83

Marktechpost

FEBRUARY 29, 2024

Multimodal Large Language Models (MLLMs), having contributed to remarkable progress in AI, face challenges in accurately processing and responding to misleading information, leading to incorrect or hallucinated responses. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Large Language Models Prompt Engineer Prompt Engineering ML 110

Marktechpost

SEPTEMBER 9, 2023

Recent research has brought to light the extraordinary capabilities of Large Language Models (LLMs), which become even more impressive as the models grow. Also, there is still a lot of uncertainty about the expert creation of powerful prompts for the best model utilization.

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Large Language Models Software Development LLM Prompt Engineer 128

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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Large Language Models Natural Language Processing LLM Machine Learning 52

Marktechpost

JANUARY 4, 2024

Large Language Models (LLMs) have been in the news throughout the year and for the right reasons. A team of researchers from Mohamed bin Zayed University of AI (MBZUAI) has introduced 26 guiding principles to improve the quality of prompts for LLMs. Some of them are as follows: Prompts should be concise and clear.

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Large Language Models Prompt Engineer Prompt Engineering LLM 93

Mlearning.ai

JULY 8, 2023

Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle. Prompt Engineering — this is where figuring out what is the right prompt to use for the problem. Develop the LLM application using existing models or train a new model. LLM Ops flow — Architecture Architecture explained.

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Large Language Models LLM Prompt Engineer Prompt Engineering 52

Marktechpost

SEPTEMBER 14, 2023

Large Language Models(LLMs) have taken center stage in a world where technology is making leaps and bounds. These LLMs are incredibly sophisticated computer programs that can understand, generate, and interact with a human language in a remarkably natural way. Prompt engineering ensures natural responses from LLM.

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Large Language Models Robotics Natural Language Processing Prompt Engineer 124

Marktechpost

AUGUST 27, 2023

Artificial Intelligence (AI) has seen a rise in the use of Large Language Models (LLMs). Models including GPT, PaLM, and LLaMA have gained massive popularity in recent times. The Chain-of-Thought (CoT) method expands on prompt engineering.

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Large Language Models Machine Learning Prompt Engineer Prompt Engineering 98

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

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.

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Prompt Engineer Prompt Engineering Computer Vision Machine Learning 90

Marktechpost

MARCH 4, 2024

The system iteratively refines prompts, akin to curriculum learning, generating challenging cases to align with user intent efficiently. In conclusion, the IPC system automates prompt engineering by combining synthetic data generation and prompt optimization modules, iteratively refining prompts using prompting LLMs until convergence.

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Prompt Engineer Prompt Engineering LLM Automation 92

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. The end goal of such a model is to understand and be able to generate human-like text.

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Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Mlearning.ai

JUNE 9, 2023

A Look at Emerging Technical Stacks and Enabling Technologies Challenges of building LLM-powered apps I want to survey building AI applications powered by large language models and related emerging technologies. I have written several articles ( 1 , 2 , 3 ) on large language models and generative AI.

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Large Language Models LLM OpenAI AI 52

Marktechpost

AUGUST 27, 2023

American attorneys and administrators are reevaluating the legal profession due to advances in large language models (LLMs). They give an early investigation of several prompt-engineering tactics and make remarks about the effectiveness of various models.

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Large Language Models LLM Prompt Engineer Prompt Engineering 97

deepsense.ai

JULY 30, 2023

The recent strides made in the field of machine learning have given us an array of powerful language models and algorithms. These models offer tremendous potential but also bring a unique set of challenges when it comes to building large-scale ML projects. But what happens next? What is LLMOps?

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Large Language Models LLM Machine Learning Automation 76

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). Implementation Hurdles: For these top performers, 24% see the models and tools as their primary challenge, followed by talent acquisition (20%) and scaling (19%).

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Large Language Models NLP Metadata LLM 52

Marktechpost

OCTOBER 18, 2023

Large language models have recently emerged as powerful tools for various natural language understanding and image classification tasks. However, these LLMs have challenges, particularly regarding prompt brittleness and multiple biases in the input. If you like our work, you will love our newsletter.

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Large Language Models Prompt Engineer Prompt Engineering LLM 90

ODSC - Open Data Science

DECEMBER 28, 2023

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024.

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Large Language Models Python Data Science Machine Learning 52

Marktechpost

FEBRUARY 23, 2024

In the rapidly evolving field of artificial intelligence, the quest for enhancing the reasoning capabilities of large language models (LLMs) has led to groundbreaking methodologies that push the boundaries of what machines can understand and solve. Check out the Paper. If you like our work, you will love our newsletter.

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Explainability Large Language Models Prompt Engineer Prompt Engineering 129

Marktechpost

MAY 6, 2024

The application of advanced AI technologies, particularly large language models (LLMs) and deep learning, has become instrumental in enhancing the detection of software vulnerabilities. Ensuring software systems are secure against potential attacks is crucial with increasingly sophisticated cyber threats.

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Deep Learning Prompt Engineer Prompt Engineering Large Language Models 118

ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

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Prompt Engineer Prompt Engineering LLM Data Scientist 52

Towards AI

MAY 1, 2023

TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. The goal is to keep you up to date with machine learning projects, research papers and concepts.

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Prompt Engineer Prompt Engineering LLM Large Language Models 94

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. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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Prompt Engineer Prompt Engineering Data Science Data Scientist 52

Marktechpost

JULY 19, 2023

Large language models can swiftly adapt to new tasks utilizing in-context learning by being given a few demos and real language instructions. Also, don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 52

Large Language Models Automation LLM Prompt Engineer 52

AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. These models span tasks like text-to-text, text-to-image, text-to-embedding, and more.

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Large Language Models Auto-complete Generative AI ML 70

Marktechpost

JULY 22, 2023

The recent rise in the use of large language models (LLMs) has completely transformed the field of natural language processing (NLP) especially prompting LLMs to generate open-ended text. All Credit For This Research Goes To the Researchers on This Project.

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Large Language Models AI Researcher AI Research Natural Language Processing 52

Marktechpost

DECEMBER 29, 2023

Large language models(LLMs) undergo extensive training on diverse datasets, allowing them to mimic human-like text generation. Traditional methods primarily revolve around refining these models through extensive training on large datasets and prompt engineering. Check out the Paper.

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LLM Large Language Models Natural Language Processing Prompt Engineer 118

Marktechpost

JULY 10, 2023

the digital image), but arises from the interaction of humans with the AI and the resulting practices that evolve from this interaction (e.g., “prompt engineering” and curation). The paper argues that human creativity in text-to-image synthesis lies not in the end product (i.e., Check out the Paper.

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Prompt Engineer Prompt Engineering Explainability Deep Learning 52

TheSequence

JANUARY 19, 2024

Generative AI and Large Language Models (LLMs) are new to most companies. If you are an engineering leader building Gen AI applications, it can be hard to know what skills and types of people are needed. At the same time, the capabilities of AI models have grown.

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Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

Towards AI

MARCH 28, 2024

It is a roadmap to the future tech stack, offering advanced techniques in Prompt Engineering, Fine-Tuning, and RAG, curated by experts from Towards AI, LlamaIndex, Activeloop, Mila, and more. Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills.

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Large Language Models Prompt Engineer Prompt Engineering AI 75

Marktechpost

FEBRUARY 26, 2024

While large language models (LLMs) excel in many areas, they can struggle with complex tasks that require precise reasoning. To test how well the method plays with other methods, it was combined with diverse techniques: Prompt Engineering: Integrating with Chain-of-Thought (CoT), Zero-Shot Cot, and Solo Performance Prompting.

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LLM Large Language Models Prompt Engineer Prompt Engineering 114

Marktechpost

OCTOBER 8, 2023

Large Language Models (LLMs) have gained a lot of attention for their human-imitating properties. These models are capable of answering questions, generating content, summarizing long textual paragraphs, and whatnot. Prompts are essential for improving the performance of LLMs like GPT-3.5 Check out the Paper.

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Large Language Models Neural Network LLM Prompt Engineer 141

Marktechpost

JANUARY 31, 2024

One of the prevailing methods for incorporating AI into software involves using large language models (LLMs) to create conversational agents. These agents are designed to comprehend and respond to user inputs in natural language, facilitating smoother interactions. Check out the Paper.

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Software Engineer Prompt Engineer Prompt Engineering Large Language Models 112

Towards AI

SEPTEMBER 22, 2023

There were significant distinctions between academic researchers, ML practitioners, and their clients. However, emerging large language models have significantly changed the world. The ways all people use LLMs are the same: mostly prompting, very rarely fine-tuning. One example is prompt engineering.

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Prompt Engineer Prompt Engineering LLM ML 57

Salmon Run

FEBRUARY 24, 2024

I got into Natural Language Processing (NLP) and Machine Learning (ML) through Search. RAG started out relatively simple -- take a query, generate search results, use search results as context for a Large Language Model (LLM) to generate an abstractive summary of the results.

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Large Language Models Natural Language Processing NLP Machine Learning 59