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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Conversational AI Chatbots NLP AI 242

Unite.AI

APRIL 18, 2024

The emergence of AI-powered software engineers, such as SWE-Agent developed by Princeton University's NLP group, Devin AI, represents a groundbreaking shift in how software is designed, developed, and maintained. However, the advent of AI-powered software engineers like SWE-Agent has the potential to disrupt this age-old paradigm.

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Software Engineer Software Development LLM AI 261

Unite.AI

JANUARY 5, 2024

What tasks could be automated and what AI tools align with your design goals? One of the most beneficial aspects of incorporating AI into a UX designer’s toolkit is the potential to automate routine tasks, thereby expediting their workflow. UX design, being an iterative process, can hugely benefit from automating A/B testing processes.

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Aiiot Talk

JULY 18, 2023

Algorithms are incredibly good at recognizing trends in data, meaning they typically come to accurate conclusions. On the other hand, an algorithm can immediately identify minor discrepancies to come to data-driven conclusions. Algorithms operate on extensive data sets, meaning their support has a basis in facts.

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IBM Journey to AI blog

OCTOBER 16, 2023

ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history. Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

Becoming Human

MARCH 12, 2024

Legal professionals now leverage powerful AI tools with sophisticated algorithms for more efficient and precise processing of vast information repositories. It automates document analysis, enhances the identification of relevant legal principles, and establishes new benchmarks in the field.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

IBM Journey to AI blog

MAY 17, 2024

  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

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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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NLP Natural Language Processing Chatbots Algorithm 40

John Snow Labs

OCTOBER 19, 2023

With these algorithms being used to make important decisions in various fields, it is crucial to address the potential for unintended bias to affect their outcomes. Understanding the Impact of Bias on NLP Models Why test NLP models for Bias? Natural Language Processing (NLP) models rely heavily on bias to function effectively.

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Viso.ai

MAY 13, 2024

Data annotation allows machine learning algorithms to understand and interpret information. AI algorithms use them as ground truths to adjust their weights accordingly. The labels are task-dependent and can be further categorized as an image or text annotation. The applications have several use cases in various domains.

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

Dlabs.ai

JUNE 11, 2019

This means processing about 75,000 incoming invoices a year that all need to be evaluated and categorized. It took two full-time employees to categorize all the documents. We chose to implement custom-made classification and normalization machine learning algorithms based on NLP (natural language processing).

Automation 52

Automation Categorization Natural Language Processing Machine Learning 52

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

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Convolutional Neural Networks Data Mining Categorization Machine Learning 134

AWS Machine Learning Blog

AUGUST 2, 2023

The textual description is added as metadata to an Amazon Kendra search index via an automated custom document enrichment (CDE). It allows users to quickly and easily find the images they need without having to manually tag or categorize them. GenAI-based image captioning is particularly useful for automating this laborious process.

Automation 69

Automation Generative AI Metadata Data Scientist 69

LevelAI

FEBRUARY 5, 2024

However, at its core, it is a set of algorithms that are trained on massive amounts of data to learn underlying patterns and relationships. GenAI-powered solutions alleviate this burden by automating call disposition through advanced natural language processing (NLP).

Generative AI 52

Generative AI Natural Language Processing Categorization Automation 52

Towards AI

FEBRUARY 3, 2024

From Predicting the behavior of a customer to automating many tasks, Machine learning has shown its capacity to convert raw data into actionable insights. Even though converting raw data into actionable insights, it is not determined by ML algorithms alone. NLP Project: Speech recognition, chatbots, ….

Machine Learning 110

Machine Learning Data Scientist NLP ML 110

Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. spam vs. not spam), while generative NLP models can create new text based on a given prompt (e.g., whether a customer will churn).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

John Snow Labs

APRIL 22, 2024

While large language models (LLMs) have demonstrated impressive capabilities in various natural language processing (NLP) tasks, their performance in this domain has been limited by the inherent complexities of medical language and the nuances involved in interpreting clinical narratives.

NLP 64

NLP Categorization Natural Language Processing BERT 64

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. This article will provide an overview of NLP sentiment analysis, how it works, and the different approaches that can be taken to assess sentiment. What is NLP Sentiment Analysis?

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. All watsonx.ai

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Generative AI Data Scientist BERT Machine Learning 140

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. Text Classification : Categorizing text into predefined categories based on its content. So, how do they do that?

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Explainability Categorization Algorithm NLP 52

Marktechpost

JULY 17, 2023

Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques are used in the process of AI content detection to automatically recognize and assess the content of a text. A content management system (CMS) is frequently used to manage workflow and automate processes. Here are some of the tools to check AI content.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

Becoming Human

MAY 12, 2023

By automating routine tasks and processes to streamlining operations with enhanced efficiency, accuracy, and cost-effectiveness, AI has proven to revolutionize virtually every industry, be it healthcare, education, retail, finance, or agriculture. It takes creativity, intuition, and problem-solving skills to develop artificial intelligence.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. There are various Machine Learning algorithms including regression and classification algorithms. What is NLP? NLP stands for Natural Language Processing.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. NLP techniques help them parse the nuances of human language, including grammar, syntax and context. Most experts categorize it as a powerful, but narrow AI model.

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Towards AI

MARCH 28, 2023

At the heart of these technologies lies the field of computational linguistics, which combines the study of linguistics and computer science to develop computational models and algorithms for processing and understanding human language. Chatbots: Chatbots are AI-powered software programs that simulate human conversations.

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Chatbots Life

APRIL 19, 2024

This advancement will open doors to real-time translation, audio dubbing, and automated voice overs. Photo by Alexey Ruban on Unsplash NLP Technology and Multimodal AI Generative AI is also enhancing Natural Language Processing (NLP). As these trends unfold, innovation continues to push boundaries.

Generative AI 52

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Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., Regex generation Regular expression generation is time-consuming for developers; however, Autoregex.xyz leverages GPT-3 to automate the process.

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Large Language Models BERT Natural Language Processing Categorization 91

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Knowledge management – Categorizing documents in a systematic way helps to organize an organization’s knowledge base. Amazon Comprehend custom classification can be useful in this situation.

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Categorization Machine Learning Data Scientist Natural Language Processing 90

Chatbots Life

MAY 25, 2023

On the other hand, WhatsApp Business API is for medium and large businesses helping them connect with customers worldwide and send quick automated replies at scale. You can even set up an “away” automated message if customers contact you outside business hours. What is WhatsApp Business App? We look forward to working with you again.”

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Chatbots Automation Categorization NLP 98

John Snow Labs

MAY 10, 2023

NLP is the technological innovator across every industry as it is shaping the future of humanity in various ways. With the support of NLP, doctors can be better equipped to make better diagnoses and analyze patients’ conditions. Significance of NLP in Healthcare Let’s discuss some uses of NLP in Healthcare.

Natural Language Processing 52

Natural Language Processing NLP Categorization Big Data 52

AWS Machine Learning Blog

APRIL 25, 2024

The most common techniques used for extractive summarization are term frequency-inverse document frequency (TF-IDF), sentence scoring, text rank algorithm, and supervised machine learning (ML). It uses BERT, a popular NLP technique, to understand the meaning and context of words in the candidate summary and reference summary.

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BERT NLP Algorithm Neural Network 101

Marktechpost

SEPTEMBER 8, 2023

In addition, it may be used to implement text classifiers and text extractors, which facilitate automated topic and intent-based data sorting and the extraction of product features and user data, respectively. Alteryx’s strength is its capability to automate mundane processes.

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AI Tools Machine Learning Data Science Data Analysis 121

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. With millions of products listed, effective sorting and categorization poses a significant challenge. CLIP offers a promising solution for automating the process of tag or attribute generation.

Generative AI 91

Generative AI Prompt Engineer Prompt Engineering Computer Vision 91

Marktechpost

JUNE 11, 2023

The algorithm behind Thunderclap looks at hot themes and hashtags to generate content that would appeal to the user’s demographic. Users need only submit general topic suggestions, and within seconds, the AI algorithm will return a list of potential tweets. It can be downloaded through the App Store or Google Play.

AI Tools 101

AI Tools Artificial Intelligence Artificial Intelligence AI 101

Dlabs.ai

OCTOBER 14, 2022

Sentiment analysis (also known as opinion mining) is a popular NLP ( Natural Language Processing ) solution where one identifies feelings and emotions expressed in words. Save time and reduce your overheads Sentiment analysis is a fully-automated process that offers time and cost optimizations. What is sentiment analysis?

Categorization 52

Categorization Natural Language Processing Algorithm NLP 52

AWS Machine Learning Blog

FEBRUARY 28, 2023

And we want to automate that anonymization to make this as scalable and amenable to self-service as possible. Automating also allows you to iterate the anonymization logic to meet your compliance requirements, and provides the ability to re-run the pipeline as your population’s health data changes. mg/actuat / salmeterol 0.05

ML 69

ML Machine Learning Categorization NLP 69

Pickl AI

JULY 31, 2023

AI can be broadly categorized into two types: Narrow AI (Weak AI) This type of AI is designed to perform specific tasks within a limited domain. Examples of narrow AI include virtual personal assistants like Siri or Alexa, recommendation systems used by online platforms, and algorithms used in autonomous vehicles for specific driving tasks.

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