AWS Machine Learning Blog

MARCH 20, 2025

Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details. Additional processing is needed to standardize formats, manage JSON outputs, and align data fields, often requiring manual integration and multiple API calls.

Automation 104

Automation IDP Generative AI Prompt Engineer 104

Marktechpost

DECEMBER 18, 2023

The attention mechanism has played a significant role in natural language processing and large language models. The researchers emphasized that transformers utilize an old-school method similar to support vector machines (SVM) to categorize data into relevant and non-relevant information. Check out the Paper.

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Natural Language Processing Large Language Models Chatbots Explainability 104

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do.

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Natural Language Processing Neural Network Deep Learning BERT 40

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Unite.AI

AUGUST 27, 2024

But what if there was a solution that combined the smart, personalized conversational abilities of an AI chatbot with the dependable results of a search engine ? Using Natural Language Processing (NLP) and the latest AI models, Perplexity AI moves beyond keyword matching to understand the meaning behind questions.

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Marktechpost

JANUARY 30, 2025

With the massive strides in natural language processing and generative intelligence in the past years, LLMs have been used to perform complex queries and summarization based on their language comprehension and exploration skill set. Based on the above score, the query was categorized as simple, moderate, or complex.

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Chatbots Natural Language Processing Categorization Data Platform 78

AssemblyAI

MAY 14, 2024

It uses natural language processing to identify and organize discussion points, decisions, and future tasks. It automatically categorizes, summarizes, and extracts actionable insights from customer calls, such as flagging questions and complaints.   Fireflies.ai

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Natural Language Processing Automation Robotics Categorization 147

Heartbeat

JUNE 22, 2023

image by Rakesh Reddy, Author at BotCore Chatbots are transforming how companies communicate with their consumers. Yet not all chatbots are made equal, and some are more adept than others in deciphering and answering natural language questions. Natural language processing (NLP) can help with this.

NLP 59

NLP Chatbots Natural Language Processing Machine Learning 59

Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Image by YouTube video “Introduction to large language models” on YouTube Channel “Google Cloud Tech” What are Large Language Models? Natural Language Processing (NLP) is a subfield of artificial intelligence.

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Large Language Models LLM Natural Language Processing Deep Learning 98

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

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Some common techniques include the following: Sentiment analysis : Sentiment analysis categorizes data based on the nature of the opinions expressed in social media content (e.g., What is text mining?

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Chatbots Life

MAY 19, 2023

Surprisingly, a simple request to change the password for many businesses still requires an elaborate ticket-raising process. A chatbot is a technological genie that uses intelligent automation, ML, and NLP to automate tasks. AI chatbots replace first-level support agents at the modern service desk.

Chatbots 69

Chatbots Automation Auto-complete NLP 69

Marktechpost

FEBRUARY 23, 2025

Defining AI Agents At its simplest, an AI agent is an autonomous software entity capable of perceiving its surroundings, processing data, and taking action to achieve specified goals. Resources from DigitalOcean and GitHub help us categorize these agents based on their capabilities and operational approaches.

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Natural Language Processing Machine Learning AI AI 56

AssemblyAI

JANUARY 23, 2025

Broadly, Python speech recognition and Speech-to-Text solutions can be categorized into two main types: open-source libraries and cloud-based services. If you're looking to implement Automatic Speech Recognition (ASR) in Python, you may have noticed that there is a wide array of available options.

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Python Convolutional Neural Networks Neural Network OpenAI 130

Marktechpost

JULY 1, 2024

Natural language processing (NLP) is a branch of artificial intelligence focusing on the interaction between computers and humans using natural language. The WILDTEAMING framework begins by mining a large dataset of user interactions to uncover various jailbreak tactics, categorizing them into 5.7K

NLP 104

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 104

IBM Journey to AI blog

MAY 17, 2024

A full one-third of consumers found their early customer support and chatbot experiences that use natural language processing (NLP) so disappointing that they didn’t want to engage with the technology again. And  And the centrality of these experiences isn’t limited to B2C vendors.

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Generative AI Automation AI AI 204

Marktechpost

JANUARY 11, 2024

We have categorized them to make it easier to cover maximum tools. Released as an advancement over Google’s PaLM 2, Gemini integrates natural language processing for effective understanding and processing of language in input queries and data.

Large Language Models 104

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 104

Marktechpost

OCTOBER 24, 2023

This ability is crucial for tasks such as text summarization, sentiment analysis, translation, and chatbots, making them valuable tools for natural language processing. LLMs are proficient at recognizing and categorizing named entities in text, such as names of people, places, organizations, dates, and more.

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Natural Language Processing Large Language Models Categorization Chatbots 98

IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. At Facebook Messenger, ML powers customer service chatbots.

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Machine Learning ML Algorithm Chatbots 131

Viso.ai

AUGUST 15, 2024

Chatbots are AI agents that can simulate human conversation with the user. The generative AI capabilities of Large Language Models (LLMs) have made chatbots more advanced and more capable than ever. This makes any business want their own chatbot, answering FAQs or addressing concerns. Let’s get started.

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Chatbots LLM Large Language Models AI Chatbots 52

Marktechpost

OCTOBER 4, 2024

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted.

LLM 113

LLM Natural Language Processing Large Language Models Categorization 113

Towards AI

MAY 20, 2023

This new era of custom LLMs marks a significant milestone in the quest for more customizable and efficient language processing solutions. For example, a financial institution that wants to develop a customer service chatbot can benefit from adopting a custom LLM.

LLM 98

LLM Large Language Models Chatbots Natural Language Processing 98

Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. These new applications need thorough testing and cautious rollouts to reduce potential dangers.

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Generative AI AI Modeling Large Language Models LLM 104

Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) in 2023 1. Large language models have numerous real-world applications. Machine translation between languages.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Marktechpost

DECEMBER 6, 2023

Recent months have seen a significant rise in the popularity of Large Language Models (LLMs). Based on the strengths of Natural Language Processing, Natural Language Understanding, and Natural Language Generation, these models have demonstrated their capabilities in almost every industry.

Large Language Models 109

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 109

Towards AI

FEBRUARY 20, 2024

If you want an overview of the Machine Learning Process, it can be categorized into 3 wide buckets: Collection of Data: Collection of Relevant data is key for building a Machine learning model. Natural language processing: Helps computers understand and generate human language, powering chatbots, and machine translation.

Machine Learning 109

Machine Learning ML Neural Network Algorithm 109

Towards AI

JANUARY 7, 2025

Well do so in three levels: first, by manually adding a classification head in PyTorch* and training the model so you can see the full process; second, by using the Hugging Face* Transformers library to streamline the process; and third, by leveraging PyTorch Lightning* and accelerators to optimize training performance.

BERT 98

BERT NLP Natural Language Processing Computer Vision 98

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., The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. a social media post or product description).

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Towards AI

MARCH 28, 2023

Source: Creative Commons In recent years, we have seen an explosion in the use of voice assistants, chatbots, and other conversational agents that use natural language to communicate with humans. Conversational AI is used in many applications, including chatbots, virtual assistants, and voice-activated devices.

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Computational Linguistics Conversational AI Natural Language Processing Chatbots 52

Explosion

FEBRUARY 15, 2023

As many large financial institutions push to use Natural Language Processing (NLP) to digitize their customer support channels, smaller financial institutions like credit unions and community banks are having a tough time to keep pace. Want to learn how to customize Prodigy for efficient chatbot annotations?

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

Viso.ai

MAY 13, 2024

The labels are task-dependent and can be further categorized as an image or text annotation. The classification process associated each text document with a single label, and this association is later used to train ML algorithms. Moreover, topic modeling annotations are also used in LLMs to help the chatbot understand the context.

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

Chatbots Life

APRIL 16, 2024

This is useful in natural language processing tasks. By applying generative models in these areas, researchers and practitioners can unlock new possibilities in various domains, including computer vision, natural language processing, and data analysis. It is frequently used in tasks involving categorization.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

AWS Machine Learning Blog

SEPTEMBER 13, 2024

Using natural language processing (NLP) and OpenAPI specs, Amazon Bedrock Agents dynamically manages API sequences, minimizing dependency management complexities. You can ask the chatbots sample questions to start exploring the functionality of filing a new claim.

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Metadata Automation LLM NLP 131

AWS Machine Learning Blog

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. Intents are categorized into two levels: main intent and sub intent.

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Prompt Engineer Prompt Engineering Large Language Models LLM 120

Becoming Human

MAY 9, 2024

In this article, we’ll talk about what named entity recognition is and why it holds such an integral position in the world of natural language processing. Introduction about NER Named entity recognition (NER) is a fundamental aspect of natural language processing (NLP).

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Mining 52

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.

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

The MLOps Blog

MARCH 23, 2023

The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs. This is especially true when the model is used for real-time applications, such as chatbots or virtual assistants.

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