Marktechpost

JULY 22, 2024

The importance of artificial data in AI research has grown substantially due to several factors: scalability, privacy preservation, diversity and representation, and cost-effectiveness. The OAK dataset has two main techniques for prompt generation: programming prompt engineering and meta prompt engineering.

AI Researcher 119

AI Researcher AI Research Data Scarcity Prompt Engineer 119

Marktechpost

DECEMBER 4, 2023

This study extends prior research on GPT-4’s medical capabilities, notably BioGPT and Med-PaLM, by systematically exploring prompt engineering to enhance performance. The research systematically explores prompt engineering to enhance GPT-4’s performance on medical challenges.

Prompt Engineer 110

Prompt Engineer Prompt Engineering AI Researcher AI Research 110

AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

Robotics 264

Robotics LLM Prompt Engineering Prompt Engineer 264

AI Weekly

AUGUST 31, 2023

zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2% forbes.com The AI Financial Crisis Theory Demystified Rather than focusing on whether the U.S. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2% dailymail.co.uk dailymail.co.uk

Generative AI 261

Generative AI Robotics Artificial Intelligence Artificial Intelligence 261

Marktechpost

MARCH 5, 2025

A task-specific LLM enhances predictions through prompt engineering and RAG. Prompting includes zero-shot or few-shot learning with chain-of-thought reasoning, while RAG retrieves relevant knowledge via semantic embeddings and HNSW indexing. All credit for this research goes to the researchers of this project.

Large Language Models 77

Large Language Models LLM Machine Learning Prompt Engineering 77

AI Weekly

MAY 30, 2024

Powered by rws.com In the News 10 Best AI PDF Summarizers In the era of information overload, efficiently processing and summarizing lengthy PDF documents has become crucial for professionals across various fields. Download 20 must-ask questions to find the right data partner for your AI project. Need data to train or fine-tune GenAI?

Robotics 261

Robotics AI AI Artificial Intelligence 261

Marktechpost

JULY 20, 2023

the small policy LM that generates stimulus) and the optimization objective defined by the LLM generation, unlike prior studies that find optimal prompts via prompt engineering/optimization, which is trying to explain the “question” more clearly. All Credit For This Research Goes To the Researchers on This Project.

LLM 98

LLM AI Researcher AI Research Prompt Engineer 98

Marktechpost

DECEMBER 18, 2024

Despite their importance, prompt creation is a labor-intensive process that often requires domain-specific knowledge and significant human effort. These limitations have spurred the development of automated systems to refine and optimize prompts efficiently. Trending: LG AI Research Releases EXAONE 3.5:

AI Researcher 85

AI Researcher AI Research LLM Prompt Engineer 85

AI Weekly

SEPTEMBER 7, 2023

pymnts.com Research Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning To evaluate the extent to which humans and machines performed differently on the two different types of tasks, we carried out a three-way ANOVA, with performer (human or agent), task type (abstract or metamer).

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

ODSC - Open Data Science

FEBRUARY 6, 2025

50% Off ODSC East 2025 Passes, Prompt Engineering Techniques, AI Builders Week 3 Highlights, and AI Guardrails The ODSC East 2025 Preliminary Schedule isLIVE! We discuss the open-source Guardrails AI and how you can use it to safeguard your AIapps. Register by Friday for 50%off! Register by Friday for 50%off!

Prompt Engineer 52

Prompt Engineer Prompt Engineering ETL AI 52

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. He is responsible for Applied AI research, Innovation, and IP development.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

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.,

Prompt Engineer 52

Prompt Engineer Prompt Engineering Explainability Deep Learning 52

AWS Machine Learning Blog

MARCH 21, 2025

Take your scientific document analysis to the next level and stay ahead of the curve in this rapidly evolving landscape.

Metadata 109

Metadata Convolutional Neural Networks Generative AI Data Scientist 109

Unite.AI

OCTOBER 9, 2023

Adding image analysis to large language models (LLMs) like GPT-4 is seen by some as a big step forward in AI research and development. It now comes with a vision feature GPT-4V , allowing users to have GPT-4 analyze images given by them. This is the newest feature that's been opened up to users.

ChatGPT 351

ChatGPT Large Language Models AI AI 351

Marktechpost

JANUARY 4, 2024

In order to get the most out of these models, it is important to ask the right questions, i.e., providing them with optimized prompts, which has led to the emergence of an entirely new field – prompt engineering, which focuses primarily on crafting optimized and task-specific instructions to get better responses.

Large Language Models 105

Large Language Models Prompt Engineer Prompt Engineering LLM 105

Marktechpost

DECEMBER 8, 2024

Practice Prompt Engineering Prompt engineering is also a valuable tool for mitigating hallucinations. This method involves crafting well-thought-out prompts that guide the model to produce relevant outputs. Conversely, a lower temperature for technical or factual outputs can help ensure accuracy and consistency.

Prompt Engineer 111

Prompt Engineer Prompt Engineering Large Language Models LLM 111

Marktechpost

DECEMBER 19, 2023

It also explores prompt engineering’s impact on VLM reward performance, although the sources do not provide specific results. The study examines the role of prompt engineering in VLM reward performance. All credit for this research goes to the researchers of this project. Check out the Paper.

Prompt Engineer 114

Prompt Engineer Prompt Engineering BERT Artificial Intelligence 114

AWS Machine Learning Blog

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Common generative AI approaches In this section, we discuss common approaches to implement effective generative AI solutions.

Generative AI 132

Generative AI Prompt Engineering Prompt Engineer AI 132

Marktechpost

MARCH 2, 2025

While there is still room for optimization, particularly in reducing the computational overhead and further fine-tuning the prompt engineering, METAL represents a thoughtful step forward. All credit for this research goes to the researchers of this project.

Python 57

Python Prompt Engineering Prompt Engineer AI Research 57

Marktechpost

OCTOBER 8, 2023

The manual engineering of prompt approaches raises the question of whether this procedure can be automated. By producing a set of prompts based on input-output instances from a dataset, Automatic Prompt Engineer (APE) made an attempt to address this, but APE had diminishing returns in terms of prompt quality.

Large Language Models 141

Large Language Models Neural Network Prompt Engineering Prompt Engineer 141

ODSC - Open Data Science

MARCH 13, 2025

Best Use Cases: Research, AI-powered documentation tools, and knowledge retrieval. Weaknesses: Requires precise prompt engineering for optimalresults. TinyLlama & Phi-3Mini Overview: These ultra-lightweight models focus on mobile and embedded AI applications.

Hybrid AI 52

Hybrid AI LLM Prompt Engineering Prompt Engineer 52

Marktechpost

SEPTEMBER 9, 2023

Editor’s Message We’re working hard at Marktechpost.com to help you find and read trending AI research articles as easily as possible — including making these research summary articles released regularly! All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 126

Large Language Models Software Development Prompt Engineering Prompt Engineer 126

Marktechpost

SEPTEMBER 20, 2023

One of the major drawbacks of contemporary text-to-image systems has been their propensity to overlook crucial words or details within prompts, often necessitating intricate prompt engineering by users. All Credit For This Research Goes To the Researchers on This Project.

OpenAI 122

OpenAI Prompt Engineering Prompt Engineer ChatGPT 122

Marktechpost

SEPTEMBER 14, 2023

DM maintains conversational flow, sends prompts to LLM, and processes responses. Prompt engineering ensures natural responses from LLM. It combines a few shot-learning and prompt-learning techniques to generate context-aware replies. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 124

Large Language Models Robotics Natural Language Processing Prompt Engineering 124

Marktechpost

AUGUST 27, 2023

Prompt engineering is a strategic technique that has been a successful and resource-efficient way to use LLMs to tackle diverse issues with the main goal of embedding task-specific instructions for the LLM in the input text. The Chain-of-Thought (CoT) method expands on prompt engineering.

Large Language Models 98

Large Language Models Machine Learning Prompt Engineer Prompt Engineering 98

Towards AI

FEBRUARY 15, 2023

This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them. This forms an introduction to the comprehensive open-source Learn Prompting course that we have contributed to.

Large Language Models 98

Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

Marktechpost

DECEMBER 19, 2023

Researchers propose leveraging high-quality datasets like TinyGSM and a verifier model for optimal output selection from multiple candidate generations to achieve this. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Python 130

Python Natural Language Processing Prompt Engineering Prompt Engineer 130

Marktechpost

DECEMBER 29, 2023

Traditional methods primarily revolve around refining these models through extensive training on large datasets and prompt engineering. All credit for this research goes to the researchers of this project. Yet, these techniques have their limitations. If you like our work, you will love our newsletter.

LLM 117

LLM Large Language Models Natural Language Processing Prompt Engineering 117

TheSequence

FEBRUARY 16, 2025

Hermes 3 Nous Research unveiled Hermes 3 , its new reasoning model. 🛠 Real World AI Prompt Engineering at LinkedIn LinkedIn discusses some details about its internal tools for collaborative prompt engineering playground.

Large Language Models 59

Large Language Models Robotics Prompt Engineering Prompt Engineer 59

Marktechpost

NOVEMBER 28, 2023

The Style Tailoring method significantly enhances sticker generation, improving visual quality by 14%, prompt alignment by 16.2%, and scene diversity by 15.3%, outperforming prompt engineering with the base Emu model. All credit for this research goes to the researchers of this project.

Prompt Engineering 120

Prompt Engineering Prompt Engineer AI AI 120

Marktechpost

OCTOBER 23, 2023

However, a significant limitation has persisted in effectively communicating with these advanced T2I models using natural language descriptions, making it challenging for users to obtain engaging images without expertise in prompt engineering. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 117

Large Language Models Prompt Engineering Prompt Engineer LLM 117

Marktechpost

OCTOBER 25, 2023

When it comes to downstream single-task optimizations such as task-specific fine-tuning and prompt engineering, it can be a better place to start than the vanilla GPT. All Credit For This Research Goes To the Researchers on This Project. Join our AI Channel on Whatsapp. We are also on WhatsApp.

Large Language Models 117

Large Language Models Natural Language Processing Prompt Engineering Prompt Engineer 117

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. In contrast, their research examines an alternative strategy for enhancing LLM reasoning skills. Check Out The Paper and Github link.

LLM 145

LLM Large Language Models NLP Prompt Engineering 145

Marktechpost

JUNE 29, 2023

Working with GPTs requires a set of skills dubbed “prompt engineering,” but as the subject has advanced, its focus has broadened to include engineering systems that use model inquiries as building blocks. It’s sometimes obvious how to work around or fix the many failure modes that GPTs display.

Prompt Engineering 111

Prompt Engineering Prompt Engineer OpenAI AI Chatbots 111

Marktechpost

AUGUST 13, 2023

Research scientists are still working on the improvement of emotions. 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. All Credit For This Research Goes To the Researchers on This Project.

AI Modeling 98

AI Modeling Large Language Models Prompt Engineering Prompt Engineer 98

Marktechpost

DECEMBER 31, 2023

The challenge intensifies when users, despite their efforts in prompt engineering – tweaking text inputs for desired image outputs – still face limitations in the diversity and quality of the generated images. In addressing this limitation, the ‘Prompt Expansion’ concept emerges as a game changer.

Prompt Engineering 107

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 107

Unite.AI

OCTOBER 15, 2024

The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research. The Mechanics of Thought Preference Optimization At its core, TPO works by encouraging AI models to generate “thought steps” before producing a final answer.

Large Language Models 173

Large Language Models AI Modeling Data Analysis Artificial Intelligence 173