Marktechpost

MAY 5, 2024

The course covers numerous algorithms of supervised and unsupervised learning and also teaches how to build neural networks using TensorFlow. Students learn to implement and analyze models like linear models, kernel machines, neural networks, and graphical models.

Machine Learning 120

Machine Learning Python Neural Network Convolutional Neural Networks 120

Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. Check out the Paper , Github, and Project.

Neural Network 102

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 102

AI News

DECEMBER 18, 2023

Zheng first explained how over a decade working in digital marketing and e-commerce sparked her interest more recently in data analytics and artificial intelligence as machine learning has become hugely popular. They then analyse and assess risks to ensure compliance with regulations. “There’s a lot of misconceptions, definitely.

Big Data 222

Big Data Neural Network Natural Language Processing Machine Learning 222

Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Mlearning.ai

MAY 11, 2023

ChatGPT is an AI language model that has taken the world by storm since its release in 2020. Indeed, this AI is a powerful natural language processing tool that can be used to generate human-like language, making it an ideal tool for creating chatbots, virtual assistants, and other applications that require natural language interactions.

Neural Network 52

Neural Network Explainability Convolutional Neural Networks Natural Language Processing 52

Marktechpost

MAY 5, 2024

Consequently, there’s been a notable uptick in research within the natural language processing (NLP) community, specifically targeting interpretability in language models, yielding fresh insights into their internal operations. Recent approaches automate circuit discovery, enhancing interpretability.

Natural Language Processing 113

Natural Language Processing Categorization Neural Network NLP 113

Marktechpost

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

Deep Learning 120

Deep Learning Neural Network Data Scarcity Natural Language Processing 120

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

Neural Network 195

Neural Network Algorithm Machine Learning Natural Language Processing 195

Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. We will explain intuitively what each one means and how it contributes to the deep learning process.

Deep Learning 116

Deep Learning Neural Network Natural Language Processing Machine Learning 116

AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years.

Robotics 207

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 207

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 138

Large Language Models Neural Network Natural Language Processing LLM 138

Mlearning.ai

JULY 23, 2023

Introducing Natural Language Processing (NLP) , a branch of artificial intelligence (AI) specifically designed to give computers the ability to understand text and spoken words in much the same way as human beings. This makes Naive Bayes particularly useful when we have to process a large amount of text data quickly.

Explainability 52

Explainability Categorization Algorithm NLP 52

Unite.AI

JUNE 26, 2023

AI models are extremely good at solving narrow problems, such as image classification, natural language processing , speech recognition, etc., They lack subjective experience, self-consciousness, or an understanding of context beyond what they have been trained to process. but they don’t possess consciousness.

AI 348

AI AI Neural Network Natural Language Processing 348

IBM Journey to AI blog

JANUARY 15, 2024

This technology excels at applying foundation models, which are large neural networks trained on extensive unlabeled data and fine-tuned for various tasks. Last year, the US Department of State sought feedback on the challenges and security considerations of introducing generative and natural language processing AI into its network.

Generative AI 177

Generative AI Responsible AI AI AI 177

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

ODSC - Open Data Science

APRIL 3, 2023

Do you yearn to compare different QA models but dread the time-consuming process of setting them up? Are you curious about explainability methods like saliency maps but feel lost about where to begin? Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Heartbeat

OCTOBER 11, 2023

Interpretability and Explainability: Deep neural networks are one machine learning model that can be very complex and difficult to assess. Artificial neural networks are trained in deep learning, a subfield of machine learning, to learn from data and generate predictions or suggestions. What is Deep Learning?

Deep Learning 52

Deep Learning Machine Learning Neural Network Natural Language Processing 52

Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. Recurrent Neural Networks (RNNs) became the cornerstone for these applications due to their ability to handle sequential data by maintaining a form of memory.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Mlearning.ai

MARCH 30, 2023

To train a machine learning model or a neural network that can yield the best results requires what? How can we train a neural network without having an ample amount of data, even if you have it can you afford to train a model for months? Let me explain this in simple words. This is how transfer learning works.

Neural Network 52

Neural Network AI Developer AI Development Convolutional Neural Networks 52

Towards AI

MARCH 4, 2023

The content is inspired by this paper (a survey paper explaining the prompting methods in NLP) (Source: Image from Paper) Prompting paradigms I came across this wonderful paper on Prompting while going through this amazing course on Advanced NLP (UMass). Let’s get started !!

Neural Network 95

Neural Network Prompt Engineer Prompt Engineering NLP 95

Towards AI

FEBRUARY 20, 2024

Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., Speech recognition: Enables voice assistants like Siri and Alexa to understand our spoken words. Models […]

Machine Learning 84

Machine Learning ML Neural Network Algorithm 84

Viso.ai

JANUARY 18, 2024

This process is fundamental to the transmission of information throughout our extensive neural network. The resulting interplay of excitatory and inhibitory signals forms the basis of information processing and transmission within the neural network.

Neural Network 52

Neural Network Computer Vision Robotics Machine Learning 52

Marktechpost

JUNE 16, 2023

However, ongoing improvements and recent machine learning (ML) discoveries create a wide range of new applications and present fresh chances for natural language processing (NLP). Transformer-based large language models (LLMs) increasingly reflect and capture implicit knowledge, including morality, humor, and stereotypes.

ChatGPT 98

ChatGPT Large Language Models Neural Network Natural Language Processing 98

IBM Journey to AI blog

JUNE 14, 2023

If you want to start a different task or solve a new problem, you often must start the whole process over again—it’s a recurring cost. But that’s all changing thanks to pre-trained, open source foundation models. works alongside the platform’s other capabilities by clicking the buttons below.

Automation 237

Automation AI AI Neural Network 237

IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Neural Network 158

Neural Network Deep Learning Machine Learning Artificial Intelligence 158

Heartbeat

MAY 30, 2023

What are Generative Adversarial Networks (GANs)? GANs are a type of neural network design used to develop new data samples that are similar to the training data. This machine learning subset uses artificially generated neural networks to model complex data relationships. Assume you’re teaching your pet new tricks.

Neural Network 72

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 72

Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

Deep Learning 52

Deep Learning NLP Natural Language Processing Neural Network 52

Google Research AI blog

APRIL 20, 2023

A number of neural network–based solutions have been able to show good performance on benchmarks and also support the above criterion. However, these methods are typically slow to train and can be expensive for inference, especially for longer horizons. the mean minimizes the MSE target metric while the median minimizes the WAPE).

Neural Network 97

Neural Network Natural Language Processing Deep Learning NLP 97

NVIDIA

MARCH 18, 2024

Talking the Talk LLMs , a form of generative AI, largely represent a class of deep-learning architectures known as transformer models , which are neural networks adept at learning context and meaning. Vision language models are another derivative of generative AI, that offer image processing and language understanding capabilities.

Generative AI 97

Generative AI AI Developer AI Development Auto-complete 97

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. NTMs introduced the revolutionary concept of incorporating dynamic memory storage into neural networks.

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Algorithm 52

Heartbeat

AUGUST 15, 2023

Advanced techniques have been devised to address these challenges, such as deep learning, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Python, a widely-used programming language for data science and machine learning, offers numerous libraries and frameworks to implement these techniques.

Python 52

Python Convolutional Neural Networks Neural Network Deep Learning 52

Heartbeat

JUNE 6, 2023

Photo by GuerrillaBuzz on Unsplash Graph Convolutional Networks (GCNs) are a type of neural network that operates on graphs, which are mathematical structures consisting of nodes and edges. GCNs have been successfully applied to many domains, including computer vision and social network analysis.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 93