Analytics Vidhya

MAY 31, 2023

Introduction Prompt engineering is a relatively new field focusing on creating and improving prompts for using language models (LLMs) effectively across various applications and research areas. We can easily understand the capabilities and restrictions of large language models( LLMs) with the aid of quick engineering skills.

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Prompt Engineer Prompt Engineering Large Language Models LLM 270

Analytics Vidhya

OCTOBER 16, 2022

Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […]. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks.

Machine Learning 380

Machine Learning Data Science Deep Learning 380

AI News

MAY 8, 2024

OpenAI has opened applications for access to its DALL-E 3 image detection classifier through its Researcher Access Program. “Our efforts around provenance are just one part of a broader industry effort – many of our peer research labs and generative AI companies are also advancing research in this area.

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Unite.AI

DECEMBER 6, 2023

Innovation is key to success in any area of tech, but for artificial intelligence, innovation is more than key – it's essential. The world of AI is moving quickly, and many nations – especially China and Europe – are in a head-to-head competition with the US for leadership in this area.

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Analytics Vidhya

MAY 26, 2023

The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future.

Data Science 288

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AI News

APRIL 17, 2024

This is according to a study conducted in early 2024 by Coleman Parkes Research and sponsored by data analytics firm SAS, which surveyed 300 US GenAI strategy or data analytics decision makers to pulse check major areas of investment and the hurdles organisations are facing.

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Big Data Large Language Models AI AI 264

Analytics Vidhya

JULY 24, 2022

Introduction One of the areas of machine learning research that focuses on knowledge retention and application to unrelated but crucial problems is known as “transfer learning.” This article was published as a part of the Data Science Blogathon.

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AI News

JANUARY 31, 2024

The UK and Canada have signed a landmark agreement to collaborate on the computing power needed to advance AI research and development. As AI rapidly advances, access to state-of-the-art computing infrastructure is increasingly vital for conducting groundbreaking research and staying globally competitive.

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AI News

JUNE 30, 2023

The city’s vibrant technology ecosystem, welcoming regulatory environment, and thriving community of innovators make it the perfect hub for OpenAI to advance its cutting-edge research and engineering capabilities.

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Unite.AI

DECEMBER 19, 2023

In a groundbreaking development, researchers at ETH Zurich have made a significant leap in artificial intelligence, demonstrating that AI can now outperform humans in tasks requiring physical skills. Interestingly, during its learning phase, CyberRunner even discovered shortcuts in the game, prompting the lead researchers, Thomas Bi and Prof.

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Robotics Artificial Intelligence Artificial Intelligence AI 279

Unite.AI

JANUARY 9, 2024

These new soft robots, developed by researchers at North Carolina State University, are redefining the capabilities of autonomous machines with their unique ability to perform three simultaneous behaviors. Looking forward, the implications of this research extend beyond mere technical innovation.

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Marktechpost

JANUARY 23, 2024

In the challenging fight against illegal poaching and human trafficking, researchers from Washington University in St. The problem at hand is how to efficiently search large areas to find and stop such activities. A team of researchers from Washington University in St.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence Computer Vision ML 109

Marktechpost

APRIL 29, 2024

Existing research in T2I generation includes frameworks like TIFA160 and DSG1K, which utilize datasets like MSCOCO to evaluate model capabilities in spatial relationships and object counting. All credit for this research goes to the researchers of this project. Check out the Paper.

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Marktechpost

JANUARY 11, 2024

This one-size-fits-all methodology often degrades high-quality areas while attempting to enhance lower-quality regions, presenting a nuanced challenge in the quest for optimal image quality. Based on this assessment, the model applies one of three refining pipelines, each meticulously designed for specific quality areas.

Neural Network 115

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Marktechpost

MAY 4, 2024

This research field leverages vast datasets and advanced computational capabilities, pushing the boundaries of what’s possible in artificial intelligence and opening new frontiers in automation, decision-making, and predictive analytics. The methodology behind GSM1k involves generating a new dataset of 1,250 elementary math problems.

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Large Language Models Natural Language Processing Machine Learning AI 129

Flipboard

APRIL 18, 2023

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

Natural Language Processing 177

Natural Language Processing NLP 177

Marktechpost

DECEMBER 9, 2023

Researchers from Shanghai Jiao Tong University, Fudan University, The Chinese University of Hong Kong, Shanghai AI Laboratory, University of Macau, and MThreads Inc. Alpha-CLIP introduces an alpha channel to preserve contextual information while concentrating on designated areas without modifying content.

AI Researcher 124

AI Researcher AI Research AI AI 124

Marktechpost

MAY 11, 2024

Let’s study a comprehensive review that synthesizes findings from 55 research articles published between 2020 and 2023, along with research from other research papers, detailing the applications, challenges, and future potentials of GPT in gaming.

Automation 123

Automation AI AI Artificial Intelligence 123

Marktechpost

MAY 11, 2024

Information extraction (IE) is a pivotal area of artificial intelligence that transforms unstructured text into structured, actionable data. Researchers have traditionally employed strategies such as prompt engineering, which involves providing detailed annotations and guidelines to assist LLMs without altering underlying model parameters.

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Large Language Models Prompt Engineer Prompt Engineering Categorization 107

Marktechpost

FEBRUARY 2, 2024

A new study by researchers from MIT and Harvard University have developed new insights to predict how the human brain responds to language. The researchers emphasized that this can be the first AI model to effectively drive and suppress responses in the human language network. Check out the Paper.

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Marktechpost

MAY 11, 2024

In a recent study, a team of researchers from the University of Zurich and Georgetown University has examined how linguistic knowledge is still crucial and how it might lead NLP research in the future in a number of important areas that the acronym RELIES highlights. Check out the Paper.

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Large Language Models NLP Data Scarcity Computational Linguistics 128

Marktechpost

MAY 16, 2024

In a recent study utilizing versions issued in March 2023 and June 2023, a team of researchers has assessed the performance of GPT-3.5 The results of the research showed that these models’ behaviour and performance varied significantly over the course of the evaluation. and GPT-4 across a variety of tasks. Check out the Report.

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AI Researcher AI Research Large Language Models LLM 91

Marktechpost

DECEMBER 2, 2023

The research conducted by Shanghai Jiao Tong University, Amazon Web Services, and Yale University addresses the problem of understanding the foundational mechanics and justifying the efficacy of Chain-of-Thought (CoT) techniques in language agents. It is a useful reference for new and seasoned researchers in this area of study.

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Categorization Automation AI Researcher AI Research 122

Marktechpost

FEBRUARY 23, 2024

The researchers propose a biased score that ingeniously combines mean absolute deviation and Spearman’s rank correlation coefficients, offering a robust metric to assess the presence and extent of geographic biases. This research underscores a pressing call to action for the AI community. Check out the Paper.

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Marktechpost

OCTOBER 24, 2023

It introduces five key research areas in lifelong learning for decision-making (LLDM) and offers a procedural task generation pipeline with four task suites comprising 130 tasks. Their research introduces LIBERO, a benchmark focusing on lifelong learning in decision-making for robot manipulation.

Robotics 122

Robotics BERT Algorithm AI Researcher 122

Marktechpost

MARCH 5, 2024

Inspired by human cognitive processes, researchers propose a DualFocus strategy for MLLMs, mirroring how individuals typically scan an image globally before focusing on relevant details to answer a question. All credit for this research goes to the researchers of this project. Check out the Paper.

Large Language Models 127

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Marktechpost

MAY 11, 2024

Semrush This industry leader provides robust SEO tools, including keyword research, competitor analysis, on-page SEO audits, and backlink tracking. Frase This AI-powered content marketing tool is particularly effective at content research and brief development.

Artificial Intelligence 123

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Marktechpost

MARCH 3, 2024

As these technologies evolve, one area of increasing interest is enhancing their ability to maintain long-term conversational memory, which is crucial for sustaining coherent and contextually relevant dialogues over extended periods. All credit for this research goes to the researchers of this project. Check out the Paper.

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Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. Stanford researchers have introduced Direct Preference Optimization (DPO), a streamlined method for LLMs. All credit for this research goes to the researchers of this project.

Machine Learning 136

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Marktechpost

MAY 2, 2024

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The research addresses a significant problem: understanding what binary code does is difficult because it requires specialized skills and knowledge. With over 1.1

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Marktechpost

APRIL 3, 2024

Researchers have presented scaling equations that show the relationship between pretraining loss and computational effort in order to reduce these expenses. Thus, it is necessary to improve evaluation frameworks in this area. Gained knowledge from one area may facilitate learning in other domains, directing model training accordingly.

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Large Language Models LLM AI AI 105

Marktechpost

APRIL 29, 2024

Given their broad application, from automated chatbots to complex decision-making systems, improving their efficiency and accuracy remains a critical area of research. Researchers have demonstrated that transformers can effectively process more complex, non-linear tasks by incorporating these tokens into the input sequence.

AI 117

AI AI Chatbots Data Science 117

Towards AI

FEBRUARY 16, 2024

Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. From research to projects and ideas. Author(s): Tony Flores Originally published on Towards AI.

Machine Learning 91

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Marktechpost

APRIL 16, 2024

Developed by a team of researchers, OSWorld is the first scalable, real computer environment designed to put multimodal agents to the test across Linux, Windows, macOS, and beyond. All credit for this research goes to the researchers of this project. That is, until now. But what sets OSWorld apart?

Automation 120

Automation ML AI AI 120

Marktechpost

JANUARY 29, 2024

The success of these models’ enormous language adoption serves as inspiration for more developments in this area. There are difficulties in adapting LLMs to low-resource languages, including problems with data sparsity, vocabulary peculiar to a given area, and linguistic variation. Check out the Paper and Model.

Large Language Models 132

Large Language Models Data Scarcity Artificial Intelligence Artificial Intelligence 132

Marktechpost

MAY 3, 2024

The researchers behind this study propose a new technique called multi-token prediction. The researchers designed a model architecture with a shared trunk that produces a latent representation of the input context. The researchers conducted extensive experiments, and the results are quite promising. Sounds intriguing, right?

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