Unite.AI

OCTOBER 27, 2024

The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures. Key Features: Hardware-accelerated ML operations using WebGL and Node.js What distinguishes TensorFlow.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Marktechpost

MARCH 8, 2025

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

Deep Learning 49

Deep Learning Natural Language Processing Computer Vision Algorithm 49

Marktechpost

AUGUST 31, 2024

This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications appeared first on MarkTechPost.

Natural Language Processing 124

Natural Language Processing NLP Deep Learning AI 124

Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost. Check out the Paper.

Natural Language Processing 120

Natural Language Processing NLP Deep Learning AI 120

Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. S191: Introduction to Deep Learning MIT’s 6.S191

Deep Learning 40

Deep Learning NLP Machine Learning Robotics 40

Unite.AI

JANUARY 18, 2025

Key Features of NPUs Parallel Processing : By dividing computational tasks into many smaller ones, NPUs can handle extensive matrix operations far faster than CPUs, which typically execute instructions in a more linear or serial manner.

Generative AI 147

Generative AI Neural Network Robotics Natural Language Processing 147

Marktechpost

JANUARY 15, 2025

These limitations are particularly significant in fields like medical imaging, autonomous driving, and natural language processing, where understanding complex patterns is essential. This gap has led to the evolution of deep learning models, designed to learn directly from raw data. What is Deep Learning?

Deep Learning 85

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 85

Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

Deep Learning 120

Deep Learning Machine Learning Python Computer Vision 120

Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. The ever-increasing need for processing larger and more complex datasets has driven researchers to find more efficient and scalable solutions.

Deep Learning 132

Deep Learning BERT Neural Network Natural Language Processing 132

Marktechpost

OCTOBER 28, 2023

A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Having the taxonomy in place makes it easier to get good generalizations, which further fosters the growth of Natural Language Processing.

Natural Language Processing 102

Natural Language Processing AI Researcher AI Research NLP 102

Unite.AI

NOVEMBER 6, 2023

Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously. With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? What is Traditional Machine Learning?

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Marktechpost

APRIL 18, 2024

This necessity is particularly critical in natural language processing, where models must process long text streams seamlessly, retaining context without compromising processing speed or accuracy. Don’t Forget to join our 40k+ ML SubReddit For Content Partnership, Please Fill Out This Form Here.

Deep Learning 111

Deep Learning Natural Language Processing ML Artificial Intelligence 111

Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

Deep Learning 117

Deep Learning Natural Language Processing Computer Vision AI Researcher 117

Marktechpost

OCTOBER 18, 2023

In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training. This deep learning compiler has been developed with a sync-free optimizer implementation. Another important feature of this deep-learning compiler is compiler caching.

Deep Learning 120

Deep Learning Neural Network Natural Language Processing Computer Vision 120

Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

Deep Learning 98

Deep Learning Python Large Language Models Natural Language Processing 98

Google Research AI blog

MAY 23, 2023

However, with machine learning (ML), we have an opportunity to automate and streamline the code review process, e.g., by proposing code changes based on a comment’s text. As of today, code-change authors at Google address a substantial amount of reviewer comments by applying an ML-suggested edit. 3-way-merge UX in IDE.

ML 140

ML Software Engineer Natural Language Processing Automation 140

Marktechpost

MARCH 15, 2024

The advent of large language models (LLMs) has sparked a revolution in natural language processing, captivating the world with their superior capabilities stemming from the massive number of parameters they utilize. It is implemented on PyTorch, which is a popular deep-learning framework.

Deep Learning 128

Deep Learning Natural Language Processing Large Language Models ML 128

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi AlphaGO was.

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. use train_dataloader in the rest of the training logic.

Deep Learning 114

Deep Learning Conversational AI Natural Language Processing BERT 114

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. Pranav Murthy is an AI/ML Specialist Solutions Architect at AWS.

LLM 161

LLM AI AI Python 161

Unite.AI

JULY 11, 2023

Introduction To Generative AI Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn? What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

JUNE 30, 2023

Cogito uses natural language processing (NLP) models that combine human-aware AI systems, deep learning machine models, and other complex rules which help computers understand, analyze, and simulate human language. How does Cogito operate to mitigate the effects of unwanted gender or other types of bias?

Emotion AI 296

Emotion AI Machine Learning Conversational AI Natural Language Processing 296

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

AWS Machine Learning Blog

NOVEMBER 29, 2024

22.03% The consistent improvements across different tasks highlight the robustness and effectiveness of Prompt Optimization in enhancing prompt performance for various natural language processing (NLP) tasks. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

Generative AI 133

Generative AI Prompt Engineer Prompt Engineering Data Scientist 133

AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

Prompt Engineer 111

Prompt Engineer Prompt Engineering Natural Language Processing Machine Learning 111

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

Machine Learning 285

Machine Learning Chatbots Business Intelligence Automation 285

Unite.AI

OCTOBER 13, 2023

Adding AI and machine learning (ML) into healthcare is akin to introducing an assistant that can sift through vast datasets and uncover hidden patterns. Integrating AI/ML into healthcare operations can revolutionize various facets, from resource allocation to telemedicine and predictive maintenance to supply chain optimization.

ML 283

ML Algorithm Natural Language Processing Machine Learning 283

Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

AWS Machine Learning Blog

JUNE 9, 2023

ONNX ( Open Neural Network Exchange ) is an open-source standard for representing deep learning models widely supported by many providers. ONNX provides tools for optimizing and quantizing models to reduce the memory and compute needed to run machine learning (ML) models.

ML 120

ML Computer Vision NLP Deep Learning 120

Marktechpost

APRIL 5, 2024

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks. Also, don’t forget to follow us on Twitter.

Neural Network 124

Neural Network Natural Language Processing Categorization Explainability 124

Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.

Neural Network 106

Neural Network Auto-classification Natural Language Processing Deep Learning 106

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime.

ML 117

ML Auto-classification Auto-complete Natural Language Processing 117

Marktechpost

MARCH 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 142

AWS Machine Learning Blog

FEBRUARY 28, 2025

As organizations adopt AI and machine learning (ML), theyre using these technologies to improve processes and enhance products. AI use cases include video analytics, market predictions, fraud detection, and natural language processing, all relying on models that analyze data efficiently.

DevOps 107

DevOps AI AI Deep Learning 107

IBM Journey to AI blog

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. Algorithms: Algorithms are the sets of rules AI systems use to process data and make decisions.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

IBM Journey to AI blog

MARCH 27, 2024

In recent years, remarkable strides have been achieved in crafting extensive foundation language models for natural language processing (NLP). These innovations have showcased strong performance in comparison to conventional machine learning (ML) models, particularly in scenarios where labelled data is in short supply.

ESG 238

ESG Categorization Large Language Models NLP 238