Mlearning.ai

AUGUST 22, 2023

Activation Functions in Neural Networks From the traditional Sigmoid and ReLU to cutting-edge activation functions like GeLU, this article delves into their significance, math, and guidelines for choosing the ideal function for your model. A Neural Network depicting Activations Functions in Action. Image by the Author.

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IBM Journey to AI blog

APRIL 16, 2024

This addresses data management, conversational interface and natural language processing needs with efficiency. Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights.

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Towards AI

MAY 10, 2024

Speech-to-text with a neural network running locallyImage by Mark Anderson If you’ve watched the Iron Man movies, you’re well aware of the how helpful Jarvis can be. Speech to text (as well as text to speech) are natural language processing problems, which is often shortened to the acronym, NLP.

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Towards AI

APRIL 1, 2024

Step further: Then, I’ll discuss the basics of traditional models such as the time series autoregression model, Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) units, important for capturing how sequential data is processed. Machine learning can be regarded as the processes of encoding and decoding.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

This long-overdue blog post is based on the Commonsense Tutorial taught by Maarten Sap, Antoine Bosselut, Yejin Choi, Dan Roth, and myself at ACL 2020. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). In the last 3 years, language models have been ubiquitous in NLP.

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Towards AI

MAY 11, 2023

Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP). We then delve into deep learning for NLP, exploring the architecture and training of neural networks for text processing.

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Natural Language Processing @ Sapienza

FEBRUARY 6, 2024

Welcome to the Sapienza NLP course blog 2024! Cool things about to happen: The course will contain lots of up-to-date content on deep learning , neural networks , Large Language Model, and an improved hands-on with PyTorch ! The course is held at DIAG ! See the updated Syllabus.

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Towards AI

FEBRUARY 20, 2024

The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. Transformer architecture significantly improved natural language task performance compared to earlier RNNs. Author(s): Dimitris Effrosynidis Originally published on Towards AI.

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Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. This blog delves into the essence of learning AI from scratch, unravelling its significance in today’s dynamic landscape of innovation and opportunity.

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Towards AI

JULY 20, 2023

The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 Oh and by the way, Maybe… the universe is just a giant neural network… ?‍♂️ ‍♂️ The Universe Might Be One Big Neural Network, Study Finds One scientist says the universe is a giant neural net.

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AI Weekly

DECEMBER 14, 2023

parameter language model Phi-2 Microsoft’s 2.7 billion-parameter model Phi-2 showcases outstanding reasoning and language understanding capabilities, setting a new standard for performance among base language models with less than 13 billion parameters. nytimes.com Microsoft unveils 2.7B Many of the services only work on women.

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IBM Journey to AI blog

OCTOBER 3, 2023

Each football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. Using neural networks and advanced natural language processing, Waiver Grades give a personalized rating for the value a player would add to your team.

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Towards AI

APRIL 8, 2023

Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. In this article, we will explore the early contributions to the development of… Read the full blog for free on Medium.

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Towards AI

JULY 21, 2023

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 In a recent blog post, Yufeng Li discusses this compression technique and how awesome it is to reduce latency on your models in production!! Revival Welcome back, and what a week?!?! if you enjoy the read!

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Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. Let’s create a community!

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Pickl AI

APRIL 25, 2023

The following blog hence will contain detailed information on the 5 Important Subsets of AI (Artificial Intelligence). There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. What is Neural Network? What is Deep Learning?

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Towards AI

MARCH 20, 2023

How do neural networks contribute to generative AI? How does natural language processing (NLP) relate to generative AI? Transformer-based models: These models, such as Cohere’s models, GPT-3 and GPT-4, use the transformer architecture to process and generate sequences of data. Neural networks […]

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AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.

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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.

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Pickl AI

AUGUST 3, 2023

These algorithms have shown remarkable success in solving a wide range of complex tasks, such as image recognition, natural language processing, speech recognition, and more. At the core of Deep Learning is the artificial neural network (ANN), which is inspired by the structure and function of the human brain.

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Mlearning.ai

MARCH 30, 2023

Today in this blog we will learn about transfer learning and how can you implement it using TensorFlow. To train a machine learning model or a neural network that can yield the best results requires what? The name transfer learning comes from the process of using the learning from one problem to solve another.

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Natural Language Processing @ Sapienza

FEBRUARY 5, 2023

Welcome to the Sapienza NLP course blog 2023! Cool things about to happen: The course will contain lots of up-to-date content on deep learning , neural networks , and an improved hands-on with PyTorch and PyTorch Lightning ! The course is held at DIAG ! Please get access to the Facebook group by signing up via the link below.

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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. The Concept of MoE Mixture of Experts (MoE) represents a paradigm shift in neural network architecture.

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Towards AI

JULY 19, 2023

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 In a recent blog post, Yufeng Li discusses this compression technique and how awesome it is to reduce latency on your models in production!! Revival Welcome back, and what a week?!?! if you enjoy the read!

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Towards AI

FEBRUARY 20, 2024

I am starting a series with this blog, which will guide a beginner to get the hang of the ‘Machine learning world’. 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.,

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). Experts recommend Python as one of the best languages for NLP as well as for machine learning and neural network connections.

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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?

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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.

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IBM Journey to AI blog

DECEMBER 15, 2023

Keras, an open-source neural network library written in Python, is known for its user-friendliness and modularity, allowing for easy and fast prototyping of deep learning models. earn more about how to train, validate, tune and deploy AI models The post Five open-source AI tools to know appeared first on IBM Blog.

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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. This blog post will clarify some of the ambiguity. What is a neural network?

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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.

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IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2. Follow the Art of A.I.

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Mlearning.ai

MARCH 6, 2023

The general Neural Networks can easily misclassify things by adding even a tiny amount of noise into the original data. Generative Adversarial Networks (GANs) address the above challenge. GANs are a type of deep learning architecture comprising two neural networks: a generator and a discriminator.

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ODSC - Open Data Science

NOVEMBER 29, 2023

Transformer neural networks have become a focal point, demonstrating remarkable efficacy in natural language processing and emerging applications such as computer vision, robotics, and autonomous driving.

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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.

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Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g.,

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