Marktechpost

MARCH 4, 2024

Artificial intelligence (AI) is rapidly evolving, with researchers tirelessly working to enhance its capabilities and applications. At the forefront of this innovation are generative models pushing the boundaries of what machines can understand and create. It significantly outperforms existing models like GPT-4 and Gemini 1.0

AI Researcher 133

AI Researcher AI Research AI AI 133

Marktechpost

APRIL 6, 2024

Understanding Transformers The transformer model was introduced in the research paper “ Attention is All You Need ” by Vaswani et al. This process is known as supervised learning when specific outputs are desired, such as in translation or summarization tasks. Based on the evaluation, the model might be fine-tuned.

Large Language Models 124

Large Language Models NLP Convolutional Neural Networks Neural Network 124

Unite.AI

SEPTEMBER 29, 2023

The once-clear lines between human tasks and machine tasks blur. Real-Time Grading and Feedback on Assignments AI can instantly assess student submissions, highlighting areas of concern and offering feedback, allowing educators to intervene promptly when a student seems to be struggling.

Automation 291

Automation AI AI AI Tools 291

Marktechpost

MARCH 21, 2024

In the evolving landscape of artificial intelligence, vision-language models (VLMs) stand as a testament to the quest for machines that can interpret and understand the world like human perception. Researchers have tirelessly explored methods to enhance these models’ interpretative and inferential capabilities.

AI Researcher 133

AI Researcher AI Research Large Language Models Categorization 133

Unite.AI

APRIL 16, 2024

With the integration of AI, tasks that were once time-consuming and tedious have been streamlined to enhance efficiency and accuracy in regulatory research. AI-powered tools offer the capability to navigate vast databases, analyze clinical research data, streamline document searches, and access worldwide regulatory news.

Automation 163

Automation Natural Language Processing AI AI 163

Marktechpost

FEBRUARY 6, 2024

Despite their strength in formal linguistic competence, new research shows that LLMs aren’t very good at functional language competence. The researchers aimed to design domain-invariant problem solvers, and they revealed these solvers as building blocks for creating compositional functions as computational graphs.

Machine Learning 115

Machine Learning Large Language Models Generative AI ML 115

Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. The Evolution of Synthetic Data Generation in NLP NLP tasks, such as machine translation , text summarization, sentiment analysis, etc.,

NLP 174

NLP BERT Large Language Models Data Scarcity 174

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. However, extending the potent powers of Large Language Models beyond the data that they are trained on has proven to be one of the biggest problems in the field of Language Model research.

Large Language Models 132

Large Language Models LLM Machine Learning Natural Language Processing 132

Unite.AI

SEPTEMBER 12, 2023

Think of AI as a software brain inside a machine body. It is not just about automating tasks but about teaching machines to think, learn, and make decisions. It extends to administrative tasks, classroom management, and even educational research. The reach of AI in education does not stop there.

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AI Tools Automation AI AI 322

Marktechpost

JANUARY 30, 2024

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. In conclusion, this research provides a thorough summary of MM-LLMs as well as insights into the effectiveness of present models.

Large Language Models 137

Large Language Models AI Researcher AI Research LLM 137

Marktechpost

OCTOBER 13, 2023

It uses the BERT framework and has been trained on a massive corpus of relevant text pairs that span numerous areas and use cases. This is a model for transforming sentences: It’s useful for things like semantic search and clustering, and it translates sentences and paragraphs to a dense vector space with 384 dimensions.

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Artificial Intelligence Artificial Intelligence BERT Machine Learning 98

AWS Machine Learning Blog

OCTOBER 24, 2023

In 2023, T-Mobile launched the Voicemail to Text Translate feature. In addition, market research based on U.S. This showed a need for a Voicemail to Text translation feature that could bridge this language gap and drove T-Mobile and AWS teams to brainstorm a solution.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 91

Marktechpost

FEBRUARY 16, 2024

Speech Language Models (SpeechLMs), which are language models trained directly on speech, have been introduced by researchers, marking the beginning of an active area of research. Ultimately, they could lead to more lifelike interactions between humans and machines. Recent studies have contributed to advancing this field.

Large Language Models 108

Large Language Models Natural Language Processing NLP AI 108

Unite.AI

MARCH 29, 2024

The Challenge of Domain Adaptation While LLMs are pre-trained on vast amounts of data, their ability to perform well in specialized domains, such as medical research, legal documentation, or enterprise-specific knowledge bases, is often limited.

Natural Language Processing 174

Natural Language Processing Large Language Models LLM Artificial Intelligence 174

Unite.AI

DECEMBER 19, 2023

Predictive Policing Analytics and Prevention Machine learning algorithms train from a police department’s history and compare that to the world’s crime trends. The investigative support will translate to courtrooms as AI might become pivotal in sentencing and rehabilitation efforts. AI is critical for immediate diagnosis.

AI 201

AI AI Natural Language Processing Automation 201

IBM Journey to AI blog

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. billion by 2030. What makes a good AI conversationalist?

Conversational AI 270

Conversational AI Chatbots NLP AI 270

Marktechpost

JANUARY 10, 2024

Language modeling is important for natural language processing tasks like machine translation and text summarization. The Huawei Noah’s Ark Lab research team addresses current LLMs’ limitations by introducing a model architecture named PanGu-π. All credit for this research goes to the researchers of this project.

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Large Language Models Natural Language Processing ML Artificial Intelligence 105

NVIDIA

MAY 12, 2024

From planes and trains to bridges, silicon chips and pharmaceuticals — testing and improving products in simulation saves researchers and developers billions of dollars. Other examples include renewables research, climate science and drug discovery. Physics-based simulations are critical to product design and development.

Large Language Models 89

Large Language Models Algorithm LLM Data Science 89

Marktechpost

JANUARY 16, 2024

These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation. A large team of Researchers from world-class universities, institutions, and labs have introduced a comprehensive framework, TRUST LLM.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 110

Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP).

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AI Researcher AI Research Large Language Models LLM 124

Defined.ai blog

SEPTEMBER 21, 2023

In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. It’s a subfield of artificial intelligence (AI) focused on enabling machines to understand, interpret, and produce human languag e.

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Natural Language Processing NLP Auto-classification Data Mining 52

NVIDIA

MAY 13, 2024

“Just as with large language models, we see AI models in the biology domain improve performance substantially as we scale our training with more data and compute horsepower, which ultimately leads to greater impacts on patients’ lives,” said Recursion’s CTO, Ben Mabey, who’s been applying machine learning to healthcare for more than a decade.

Large Language Models 82

Large Language Models AI AI Generative AI 82

AWS Machine Learning Blog

OCTOBER 5, 2023

These models can be used for question answering, summarization, translation, and more in applications such as conversational agents for customer support, content creation for marketing, and coding assistants. About the Authors Hao Zhou is a Research Scientist with Amazon SageMaker. Youngsuk Park is a Sr.

Machine Learning 98

Machine Learning Big Data Deep Learning Natural Language Processing 98

Marktechpost

AUGUST 5, 2023

LLMs have become famous for imitating humans for having realistic conversations and are capable of answering simple and complex questions, content generation, code completion, machine translation, and text summarization. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 98

AI Researcher AI Research Large Language Models Natural Language Processing 98

Chatbots Life

APRIL 16, 2024

Machine learning has revolutionized various fields by enabling computers to learn from data and make accurate predictions or classifications. Two prominent types of models used in machine learning are generative models and discriminative models. So, let’s dive into the world of generative and discriminative models.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Towards AI

SEPTEMBER 6, 2023

The goal is to keep you up to date with machine learning projects, research papers, and concepts. In the context of AI, a compiler is responsible for translating a neural network architecture into executable code in a specific hardware topology. This lengthy process can take days or weeks to compile a full AI model.

Neural Network 109

Neural Network Machine Learning Natural Language Processing AI 109

IBM Journey to AI blog

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying.

Computer Vision 226

Computer Vision Automation Robotics AI 226

NVIDIA

APRIL 3, 2024

The player’s voice first goes into NVIDIA Riva , a technology that builds fully customizable, real-time conversational AI pipelines and turns chatbots into engaging and expressive assistants using GPU-accelerated multilingual speech and translation microservices. Explore a Riva-powered demo of speech-to-text in a dozen languages.

Auto-complete 121

Auto-complete Generative AI AI AI 121

Google Research AI blog

FEBRUARY 23, 2023

Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. In no area is the magnitude of this opportunity greater than in the spheres of healthcare and medicine.

Convolutional Neural Networks 104

Convolutional Neural Networks ML Neural Network Deep Learning 104

ODSC - Open Data Science

MARCH 31, 2023

Using machine learning models, it can take care of inquiries and complete a user’s intended action through simulated conversations. It uses a combination of machine learning algorithms, data analytics, and human expertise to identify and prevent fraud across multiple channels and transactions.

Large Language Models 59

Large Language Models LLM Neural Network Data Science 59

Towards AI

JULY 21, 2023

As of right now, the architecture can help with language modeling and machine translation. His blog post discusses the different areas of impact from societal to cognitive road-blocks on the lack of these datasets. Research Work on methods that address the challenges of low-resource languages.

NLP 94

NLP Auto-complete Natural Language Processing BERT 94

Towards AI

SEPTEMBER 5, 2023

LLMs are no longer confined to niche research areas and ChatGPT has triggered a huge step change in demand for LLM products and infrastructure which is generating substantial revenue. The WeatherBench 2 dataset aims to enhance ML research in weather forecasting. What Will Replace Them?

Machine Learning 100

Machine Learning AI AI LLM 100

Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

Marktechpost

JULY 15, 2023

Since the emergence of large-scale OT and Wasserstein GANs, machine learning has increasingly embraced using neural networks to solve optimum transport (OT) issues. The method will enhance existing models in domains other than unpaired translation (picture restoration, domain adaptability, etc.).

Neural Network 52

Neural Network Algorithm Machine Learning Artificial Intelligence 52

Google Research AI blog

MARCH 16, 2023

The team’s mission is to examine socioeconomic and human rights impacts of AI, publish foundational research, and incubate novel mitigations enabling machine learning (ML) practitioners to advance global equity. Our work gives weight to Google's AI Principles.

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Responsible AI ML AI AI 111

Heartbeat

OCTOBER 11, 2023

This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning? Machine learning focuses on building algorithms and models that can automatically discover patterns and insights from data without being explicitly coded.

Deep Learning 52

Deep Learning Machine Learning Neural Network Natural Language Processing 52

Viso.ai

FEBRUARY 13, 2024

AI can be described as a union of machine learning algorithms and complex systems that instruct computers to execute activities that previously required human intelligence. These instructions help machines do things without explicitly being told what to do each time. This is when machines can think and understand things like humans.

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Artificial Intelligence Artificial Intelligence Computer Vision Natural Language Processing 52