AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this post, we illustrate the use of Clarify for explaining NLP models.

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John Snow Labs

APRIL 30, 2024

This article will delve into the significance of NER (Named Entity Recognition) detection in OCR (Optical Character Recognition) and showcase its application through the John Snow Labs NLP library with visual features installed. How does Visual NLP come into action? What are the components that will be used for NER in Visual NLP?

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IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI? What is watsonx.governance?

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Heartbeat

FEBRUARY 7, 2023

image by rawpixel.com Understanding the concept of language models in natural language processing (NLP) is very important to anyone working in the Deep learning and machine learning space. They are essential to a variety of NLP activities, including speech recognition, machine translation, and text summarization.

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Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. This article will explain to you in detail about RoBERTa and if you do not know about BERT please click on the associated link.

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Chatbots Life

SEPTEMBER 11, 2023

It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. This limitation has paved the way for more advanced solutions that harness the power of Natural Language Processing (NLP).

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Heartbeat

JUNE 22, 2023

Natural language processing (NLP) can help with this. In this post, we’ll look at how natural language processing (NLP) may be utilized to create smart chatbots that can comprehend and reply to natural language requests. What is NLP? Sentiment analysis, language translation, and speech recognition are a few NLP applications.

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IBM Journey to AI blog

JANUARY 25, 2024

Additionally, the models themselves are created from limited architectures: “Almost all state-of-the-art NLP models are now adapted from one of a few foundation models, such as BERT, RoBERTa, BART, T5, etc. How are you making your model explainable? Typical questions include: What is your model’s use case?

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Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. This article provides a brief overview of GCNs for NLP tasks and how to implement them using PyTorch and Comet.

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Heartbeat

JULY 5, 2023

It interprets user input and generates suitable responses using artificial intelligence (AI) and natural language processing (NLP). It necessitates a thorough knowledge of natural language processing (NLP) methods. In this article, you will learn how to use RL and NLP to create an entire chatbot system. Why is NLP Required?

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AI Weekly

APRIL 11, 2024

Read the blog] global.ntt In The News When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria mit.edu Microsoft AI opens London hub to access ‘enormous pool’ of talent Microsoft is doubling down on its AI efforts in the UK with the opening of a major new AI hub in London. No legacy process is safe.

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Heartbeat

AUGUST 23, 2023

Enter Natural Language Processing (NLP) and its transformational power. This is the promise of NLP: to transform the way we approach legal discovery. The seemingly impossible chore of sorting through mountains of legal documents can be accomplished with astonishing efficiency and precision using NLP.

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John Snow Labs

MAY 22, 2023

After thorough research of an annotation tool for text content, they chose NLP Lab, because of its out-of-the-box pre-annotation features that allow automatic annotation of travel reviews with entities, relations, or sentiment tags. Here is how you can get started with creating your own NLP Lab project: 1.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. appeared first on IBM Blog. Let’s embrace the age of AI value creation together.

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Heartbeat

JULY 11, 2023

Photo by Oleg Laptev on Unsplash By improving many areas of content generation, optimization, and analysis, natural language processing (NLP) plays a crucial role in content marketing. Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact.

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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today. Elevate your AI with IBM watsonx. Train, deploy and scale models effortlessly.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Unite.AI

AUGUST 20, 2023

Copy AI doesn't just write short-form content like social media posts or product descriptions; it also writes long-form articles and blog posts 10x faster using its powerful content generator. By the end of this blog, you will clearly understand whether Copy.ai In this review, we will dive deep into what exactly Copy.ai Chat by Copy.ai

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Heartbeat

NOVEMBER 7, 2023

NLP — Topic Modeling For a TV Series Episode Summary Introduction Many of us watch TV shows for leisure within our daily mundane routines via various online streaming platforms (such as Amazon Prime or Netflix), each having its share of show categories. Each episode present in the show contains a story with some difference in their nature.

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Heartbeat

NOVEMBER 21, 2023

Natural Language Processing (NLP) has experienced a transformative revolution with the advent of deep learning, empowering devices to understand, interpret, and generate human language with remarkable precision. Join us as we delve into NLP and explore how deep knowledge has increased language understanding.

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Ehud Reiter

AUGUST 25, 2024

Many people in NLP seem to think that you need to work with the latest and trendiest technology in order to be relevant, both in research and in applications. At the time, the latest and trendiest NLP technology was LSTM (and variants such as biLSTM). LSTMs worked very well in lots of areas of NLP, including machine translation.

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Towards AI

AUGUST 29, 2024

I explore the differences between RAG and sending all data in the input and explain why we believe RAG will remain relevant for the foreseeable future. by Sachin Khandewal This blog explains different ways to query SQL Databases using Groq to access the LLMs. So, is RAG dead? Read the complete issue here!

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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. I hope you find this article to be helpful.

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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.

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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog covers 15 crucial artificial intelligence interview questions, ranging from fundamental concepts to advanced techniques. In this blog post, we will explore 15 essential artificial intelligence interview questions that cover a range of topics, from fundamental principles to cutting-edge techniques.

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. An open-source model, Google created BERT in 2018. All watsonx.ai

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Explosion

JUNE 18, 2021

In this blog post, I’m going to discuss some of the biggest challenges for applied NLP and translating business problems into machine learning solutions. This blog post is based on talks I gave at the “Teaching NLP” workshop at NAACL 2021 and the L3-AI online conference. I call this “Applied NLP Thinking”.

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Artificial Corner

JULY 7, 2023

Unlocking the Power of AI Language Models through Effective Prompt Crafting Midjourney In the world of artificial intelligence (AI), one of the most exciting and rapidly evolving areas is Natural Language Processing (NLP). NLP is a branch of AI that focuses on the interaction between humans and computers using natural language.

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Ehud Reiter

MARCH 26, 2023

One of the things I most dislike about academic NLP research is the focus on leaderboards. A leaderboard is essentially a scorecard of how well different systems do on an NLP task, ie how well they perform on a fixed dataset as measured by specified evaluation metrics. I explained my dislike of leaderboards ia a previous blog.

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Jay Alammar

DECEMBER 16, 2020

input saliency is a method that explains individual predictions. This is a method of attribution explaining the relationship between a model's output and inputs -- helping us detect errors and biases, and better understand the behavior of the system. Multiple methods exist for assigning importance scores to the inputs of an NLP model.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

In this blog, we’ll touch on different types of chatbots with various degrees of technological sophistication and discuss which makes the most sense for your business. Learn more about how to leverage AI chatbots in your business The post 5 types of chatbot and how to choose the right one for your business appeared first on IBM Blog.

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Towards AI

FEBRUARY 13, 2023

A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more.

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ODSC - Open Data Science

JANUARY 1, 2024

Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Below, you’ll find a rundown of all of our Microsoft and ODSC collaborative efforts, including past webinars & talks, blogs, and more. Where can I stay up to date?

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Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). If CNNs are pre-trained the same way as transformer models, they achieve competitive performance on many NLP tasks [28].   Popularized by GPT-3 [32] , prompting has emerged as a viable alternative input format for NLP models.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

included the Slate family of encoder-only models useful for enterprise NLP tasks. Trained on permissively licensed data from GitHub, the model can be used as a technical assistant, explaining, and answering general questions about code in natural language. appeared first on IBM Blog. ” The initial release of watsonx.ai

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IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech. Google Translate uses NLP to translate words across more than 130 languages.

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