Marktechpost

JANUARY 7, 2024

However, their extensive computational requirements pose significant challenges, particularly regarding accessibility and practicality for a broader range of users, including those with limited resources. It combines efficiency with effectiveness, addressing the pressing need for accessible, high-quality NLP tools. With its 1.1

Natural Language Processing 133

Natural Language Processing NLP ML Large Language Models 133

Marktechpost

FEBRUARY 14, 2024

Despite their potential, the substantial computational resources required for training these models, especially in GPU memory and processing power, pose significant challenges. As such, there is a pressing need for innovative approaches that can mitigate these challenges without compromising on model performance.

AI 134

AI AI ML 134

IBM Journey to AI blog

APRIL 22, 2024

“AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member.

AI 250

AI AI Large Language Models LLM 250

NYU Center for Data Science

DECEMBER 14, 2023

McFee’s recent book, Digital Signals Theory , published by CRC Press, an imprint of Routledge , aims to demystify complex technical concepts for a diverse audience. McFee’s book goes beyond being a mere academic resource. This approach not only makes technical subjects more accessible but also more engaging.

Data Science 96

Data Science Explainability Big Data Data Scientist 96

Unite.AI

JANUARY 23, 2024

Making LLMs forget selected data has become a pressing issue to ensure legal compliance and ethical responsibility. These techniques are resource-intensive and time-consuming, making them difficult to implement. Yet their ability to absorb and mimic human understanding presents legal, ethical, and technological challenges.

LLM 281

LLM Large Language Models OpenAI ML 281

Marktechpost

DECEMBER 22, 2023

In recent AI advancements, optimizing large language models (LLMs) has been the most pressing issue. These factors make LLMs costly to operate and limit their accessibility and practical application, particularly for organizations without extensive resources.

Machine Learning 136

Machine Learning Large Language Models Neural Network LLM 136

Marktechpost

APRIL 15, 2024

The sheer volume of data that security analysts have to process makes it difficult for them to identify the most pressing dangers. This, in turn, helps them prioritize tasks, allocate resources and respond promptly. One of the biggest challenges in this field is the increasing sophistication of cyber threats.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence AI AI 119

Marktechpost

FEBRUARY 19, 2024

Despite their reduced size, these compact models aim to deliver performance on par with their larger counterparts, addressing the crucial need for efficient AI applications in resource-constrained environments. The research team tackled the pressing challenge of optimizing language models for mobile deployment.

Large Language Models 128

Large Language Models ML AI AI 128

Marktechpost

MAY 8, 2024

One pressing challenge in this domain is the development of models that manage extensive datasets without prohibitive computational costs. Traditional models often require substantial resources, which hinders practical application and scalability.

Large Language Models 109

Large Language Models Natural Language Processing BERT AI 109

AI News

NOVEMBER 2, 2023

It marks a groundbreaking fusion of AI and high-performance computing (HPC) technologies, showcasing the potential to tackle some of the world’s most pressing challenges. This supercomputer brings the UK closer to achieving the exascale; a computing threshold of a quintillion (10^18) floating point operations per second.

Big Data 251

Big Data AI Researcher AI Research AI 251

IBM Journey to AI blog

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

ESG 253

ESG Artificial Intelligence Artificial Intelligence Machine Learning 253

NVIDIA

SEPTEMBER 8, 2023

Speaking with the press Friday in Bengaluru, in the context of announcements from two of India’s largest conglomerates, Reliance Industries Limited and Tata Group , NVIDIA founder and CEO Jensen Huang detailed plans to bring AI technology and skills to address the world’s most populous nation’s greatest challenges. “I

AI 111

AI AI AI Researcher AI Research 111

Unite.AI

NOVEMBER 20, 2023

Extensive Resource Library : Offers a rich collection of templates, stock images, videos, and graphics. Visme offers a selection of templates tailored for different industries, ensuring that users can start with a professionally crafted base for their press kits. A key strength of Visme is the degree of customization it allows.

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162

Unite.AI

SEPTEMBER 12, 2023

Such accelerations in processes, which previously demanded significant time and resources, are transformative. Energy, Resources, and Industrial (ER&I) The ER&I sector is poised for transformation, catalyzed by Generative AI. By automating such tasks, valuable resources can be redirected to more consequential activities.

Generative AI 361

Generative AI AI AI Natural Language Processing 361

Unite.AI

OCTOBER 18, 2023

Compute as the New Oil In the race to AI supremacy, raw computational power—often likened to oil in its importance—has emerged as a crucial resource. As AI models grow in complexity, the demand for high-performance computing resources has skyrocketed.

Large Language Models 303

Large Language Models AI AI Generative AI 303

Marktechpost

MARCH 19, 2024

Despite their effectiveness, traditional attention mechanisms suffer from a quadratic increase in computational and memory costs concerning sequence length, making the processing of long sequences inefficient and resource-intensive.

Large Language Models 132

Large Language Models Machine Learning Natural Language Processing NLP 132

Marktechpost

JANUARY 10, 2024

Automated Machine Learning (AutoML) has been introduced to address the pressing need for proactive and continual learning in content moderation defenses on the LinkedIn platform. It efficiently handles redundant tasks, allowing human resources to focus on innovative endeavors.

Machine Learning 103

Machine Learning Continuous Learning Automation ML Engineer 103

Marktechpost

FEBRUARY 27, 2024

Its development responds to the pressing need for a unified interface that simplifies complex LLM workflows, making them more accessible and manageable for researchers. For instance, DataDreamer facilitates the generation of synthetic datasets, which is increasingly vital as researchers seek to augment their data resources.

LLM 138

LLM Large Language Models Python NLP 138

Marktechpost

SEPTEMBER 4, 2023

Or how many times do you press Tab when you have your GitHub copilot installed? The primary objective of this initiative is to empower foundation LLMs to understand developer intent while operating with limited computational resources. These resources hold the promise of accelerating future research and innovation in the field.

Software Development 132

Software Development Software Engineer ChatGPT AI 132

Marktechpost

JANUARY 2, 2024

With limited resources and a growing need for early detection, researchers have explored innovative ways to screen for ASD using retinal photographs. With limited resources and a growing need for early detection, researchers have explored innovative ways to screen for ASD using retinal photographs. Check out the Paper.

Deep Learning 75

Deep Learning Algorithm Artificial Intelligence Artificial Intelligence 75

Marktechpost

FEBRUARY 1, 2024

A pressing challenge in this area is interpreting complex visual information, particularly in reconstructing detailed images from partial data. Traditional methods have made strides, but the quest for more efficient and effective techniques is ongoing.

Computer Vision 137

Computer Vision Automation ML Artificial Intelligence 137

Robot Writers AI

MARCH 3, 2024

AI Rewrites Press Releases, Calls It News A growing number news sites have decided to bypass reporters completely and simply go live with whatever they happen to find in a press release — courtesy of an AI-rewrite. Writer Bron Maher reports that the tool they’re using is Gutenbot, by Reach.

Auto-complete 52

Auto-complete ChatGPT AI Tools AI Chatbots 52

Marktechpost

JANUARY 13, 2024

However, a pressing challenge in this domain is creating models that balance high-quality image generation with computational efficiency, particularly for users with constrained computational resources.

AI 128

AI AI ML Computer Vision 128

NVIDIA

MAY 14, 2024

Following on from last year, this is a significant effort by the Japanese government to subsidize AI computing resources, by expanding the number of companies involved. The AI factory will become the bedrock of modern economies across the world,” Huang said during a meeting with the Japanese press in December.

Generative AI 52

Generative AI AI AI 52

Unite.AI

DECEMBER 15, 2023

Often foregoing the usual accompaniments of papers, blogs, or press releases, their strategy has been uniquely effective in capturing the AI community's attention. Notably, it outperforms FLAN-PALM62B, a dense model, on benchmark tasks while using only one-third of the computational resources.

Large Language Models 130

Large Language Models Neural Network LLM Natural Language Processing 130

Marktechpost

DECEMBER 24, 2023

A pressing concern has surfaced in large language models (LLMs), drawing attention to the safety implications of downstream customized finetuning. The experimentations reveal that opting for a relatively smaller number of training steps enhances model efficiency and optimizes computational resources.

Machine Learning 116

Machine Learning Large Language Models Algorithm LLM 116

Marktechpost

FEBRUARY 20, 2024

Understanding these relationships is necessary for optimizing LLMs, enabling them to learn from vast datasets and improve in tasks such as language translation, thereby pushing the boundaries of what’s achievable with current computational resources and data availability.

Large Language Models 126

Large Language Models LLM Algorithm ML 126

Marktechpost

JANUARY 4, 2024

Finding an efficient way to scale these models, balancing quality against computational expenditure, is a pressing concern in the field. A pivotal step towards more resource-efficient AI, enhancing the sustainability of large language model development. Check out the Paper.

LLM 111

LLM Large Language Models Automation AI Researcher 111

Unite.AI

OCTOBER 14, 2023

I sampled the avatars I was interested in by pressing the play button. When I was ready, I selected the three dots next to the avatar and pressed “Select this Avatar” (you can also add it to your favorites). I previewed it by pressing the play button, and it sounded accurate!

AI 276

AI AI Artificial Intelligence Artificial Intelligence 276

AWS Machine Learning Blog

APRIL 8, 2024

Download press releases to use as our external knowledge base. Build an index out of the press releases to be able to query and add as additional context to the prompt. Our data sample is two Amazon press releases in PDF version in the press releases folder in our code repository. Query the knowledge base.

LLM 98

LLM Large Language Models Machine Learning Data Ingestion 98

IBM Journey to AI blog

SEPTEMBER 13, 2023

Organizations are wrestling with a pressing concern: the speed at which they respond to and contain data breaches falls short of the escalating security threats they face. With this enhanced knowledge, you can distribute your resources more efficiently and focus on critical vulnerabilities that pose the highest risk of a data breach.

Automation 266

Automation 266

AWS Machine Learning Blog

APRIL 11, 2024

The AWS Startups team works closely with these companies by investing and supporting their growth, offering resources through programs like AWS Activate. The program offers valuable resources along with best practices for all AWS partners to build, market, and sell generative AI solutions jointly with AWS.

Generative AI 97

Generative AI Robotics Large Language Models AI 97

Unite.AI

FEBRUARY 29, 2024

With their backing, Figure AI is not only equipped with the financial muscle to scale new heights but also gains invaluable access to a wealth of knowledge, expertise, and technological resources. The applications of Figure 01 stretch far and wide, spanning across critical sectors such as manufacturing, logistics, warehousing, and retail.

Robotics 162

Robotics OpenAI Artificial Intelligence Artificial Intelligence 162

IBM Journey to AI blog

JANUARY 18, 2024

Gone are the days of prompts like “Press 6 to connect to customer service.” Your chatbot can prompt them and provide more self-service options and resource directions, saving your customers time and reducing your staffing needs. ” The advantages of chatbots surround us. Your potential market is worldwide.

Chatbots 245

Chatbots Automation AI Chatbots Natural Language Processing 245

Aiiot Talk

FEBRUARY 29, 2024

However, the world of work is constantly evolving and adopting a decentralized leadership model becomes a pressing matter with today’s economic conditions. However, Amazon leverages a decentralized strategy where local managers can make immediate logistics, staffing and resource allocation decisions.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence 130

Unite.AI

FEBRUARY 28, 2024

Gathering this information – much less mastering it – is a difficult, time-consuming, and tedious process, especially for sales teams at smaller pharma firms, where resources are likely limited.

Automation 100

Automation LLM Large Language Models Algorithm 100

Becoming Human

MARCH 12, 2024

Searching through print resources: Researchers heavily relied on print resources like case reporters and legal encyclopedias, manually sifting through them to extract relevant case law and legal principles. Automating time-consuming tasks allows professionals to focus on higher-level work and pressing issues.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105