AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. This concept is not exclusive to natural language processing, and has also been employed in other domains.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. The AIs intent recognition models detect modifications and update the order accordingly, reducing the need for manual corrections.

Automation 157

Automation AI AI Neural Network 157

Unite.AI

NOVEMBER 28, 2024

The invention of the backpropagation algorithm in 1986 allowed neural networks to improve by learning from errors. GPUs, originally developed for rendering graphics, became essential for accelerating data processing and advancing deep learning. Customer service roles are experiencing a similar transformation.

Robotics 290

Robotics Algorithm AI AI 290

AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi

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Neural Network Robotics ChatGPT Computer Vision 242

Unite.AI

MARCH 11, 2024

For instance, a chatbot using retrieval-augmented generation (RAG) can handle missing information gracefully. The goal is to merge the intuitive data processing abilities of neural networks with the structured, logical reasoning of symbolic AI. This flexibility allows for rapid adjustments and improvements.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Pickl AI

JANUARY 29, 2025

Whether you’re interested in image recognition, natural language processing, or even creating a dating app algorithm, theres a project here for everyone. Natural Language Processing: Powers applications such as language translation, sentiment analysis, and chatbots.

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Deep Learning Neural Network Natural Language Processing Computer Vision 52

AI News

OCTOBER 15, 2024

Chatbots and virtual assistants: These can help transform customer services by providing round-the-clock support for customers who need assistance. Unsupervised machine learning systems use artificial neural networks to continue interacting with customers and retain existing customers.

Machine Learning 300

Machine Learning Chatbots Business Intelligence Automation 300

AI Weekly

JANUARY 18, 2024

artificialintelligence-news.com Unveiling the Top AI Chatbots of 2024: A Comprehensive Guide AI chatbots, fueled by large language models, are transforming workplaces and daily tasks, showing no signs of slowing down in 2024. Builders can now share their creations in the dedicated store.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

IBM Journey to AI blog

AUGUST 13, 2024

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. But before we discuss what watsonx is doing for enterprises today, let’s take a look back.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

AWS Machine Learning Blog

FEBRUARY 25, 2025

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. Model invocation We use Anthropics Claude 3 Sonnet model for the natural language processing task.

Chatbots 75

Chatbots Categorization LLM Algorithm 75

Unite.AI

JUNE 5, 2024

Across sectors like healthcare, finance, autonomous vehicles , and natural language processing , the demand for efficient AI models is increasing. Understanding Model Quantization Model quantization is a technique fundamental for reducing the memory footprint and computational demands of neural network models.

AI Developer 147

AI Developer AI Development Neural Network Natural Language Processing 147

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. They’re also part of a family of generative learning algorithms that model the input distribution of a given class or/category.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

AUGUST 14, 2024

Summary: Neural networks are a key technique in Machine Learning, inspired by the human brain. Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Pickl AI

JANUARY 26, 2025

These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics. Feedforward Neural Networks (FNNs) Feedforward Neural Networks (FNNs) are the simplest and most foundational architecture in Deep Learning.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Marktechpost

JULY 31, 2024

Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. Natural Language Processing in TensorFlow This course focuses on building natural language processing systems using TensorFlow.

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Neural Network Auto-classification Natural Language Processing Deep Learning 108

Marktechpost

JANUARY 30, 2025

Intelligent Virtual Assistants Chatbots, voice assistants, and specialized customer service agents continually refine their responses through user interactions and iterative learning approaches. Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy.

Robotics 116

Robotics Convolutional Neural Networks Large Language Models AI 116

Unite.AI

AUGUST 8, 2023

With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. These advances have fueled applications in document creation, chatbot dialogue systems, and even synthetic music composition. Recent Big-Tech decisions underscore its significance.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Mlearning.ai

MAY 30, 2023

Recurrent Neural Networks (RNNs) have become a potent tool for analysing sequential data in the large subject of artificial intelligence and machine learning. As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data. RNN is used for sequential data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Pickl AI

NOVEMBER 26, 2024

Summary: Recurrent Neural Networks (RNNs) are specialised neural networks designed for processing sequential data by maintaining memory of previous inputs. They excel in natural language processing, speech recognition, and time series forecasting applications.

Neural Network 52

Neural Network Natural Language Processing NLP Deep Learning 52

AssemblyAI

JANUARY 23, 2025

This technology is widely used in virtual assistants, transcription tools, conversational intelligence apps (which for example can extract meeting insights or provide sales and customer insights), customer service chatbots, and voice-controlled devices. Despite this, it remains widely recognized by its original name, wav2letter.

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Python Convolutional Neural Networks Neural Network OpenAI 130

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.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

IBM Journey to AI blog

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures. This is where AI programming offers a clear edge over rules-based programming methods.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Pickl AI

NOVEMBER 13, 2024

Summary: Backpropagation in neural network optimises models by adjusting weights to reduce errors. Despite challenges like vanishing gradients, innovations like advanced optimisers and batch normalisation have improved their efficiency, enabling neural networks to solve complex problems.

Neural Network 52

Neural Network Algorithm Convolutional Neural Networks Natural Language Processing 52

ODSC - Open Data Science

JUNE 9, 2023

1966: ELIZA In 1966, a chatbot called ELIZA took the computer science world by storm. ELIZA was rudimentary but felt believable and was an incredible leap forward for chatbots. Since it was one of the first chatbots ever designed, it was also one of the first programs capable of attempting the Turing Test.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 93

Neural Network Natural Language Processing Large Language Models Deep Learning 93

Marktechpost

JANUARY 15, 2025

These limitations are particularly significant in fields like medical imaging, autonomous driving, and natural language processing, where understanding complex patterns is essential. It employs artificial neural networks with multiple layershence the term deepto model intricate patterns in data.

Deep Learning 87

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 87

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

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Large Language Models BERT Neural Network Natural Language Processing 217

IBM Journey to AI blog

AUGUST 16, 2023

It stands out as a high-quality conversational chatbot that aims to provide coherent and context-aware responses. The chatbot’s ability to remember previous conversations adds to its interactive and engaging experience. ChatGPT is an excellent tool for exploring creative writing, generating ideas and interacting with AI.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

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.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Marktechpost

JANUARY 8, 2024

In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models.

Large Language Models 117

Large Language Models Natural Language Processing Neural Network Automation 117

NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks.

Neural Network 55

Neural Network Large Language Models Robotics BERT 55

Unite.AI

JANUARY 12, 2024

The rise of deep learning reignited interest in neural networks, while natural language processing surged with ChatGPT-level models. MoE architectures combine multiple specialized neural network “experts” optimized for different tasks or data types.

Generative AI 189

Generative AI Neural Network ChatGPT Natural Language Processing 189

Unite.AI

DECEMBER 7, 2023

It learns optimal strategies through self-play, guided by a neural network for moves and position evaluation. The extensive training makes LLMs proficient at understanding grammar, semantics, and even nuanced aspects of language use. Monte Carlo Tree Search) for strategic planning in board games like chess and Go.

Large Language Models 204

Large Language Models OpenAI Neural Network Natural Language Processing 204

Chatbots Life

SEPTEMBER 19, 2024

Are you thinking about creating a chatbot for your business? Chatbots have quickly become a popular AI tool. In fact, according to a Facebook report, over 300,000 active chatbots are on Facebook Messenger alone. Chatbots aren’t limited to just Facebook anymore; they’re making appearances on websites across various industries.

Machine Learning 66

Machine Learning Chatbots Neural Network Natural Language Processing 66

Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. It addresses how input prompts function within language models like ChatGPT.

Prompt Engineering 272

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 272

Marktechpost

OCTOBER 10, 2023

is a transformer model, a type of neural network especially useful for NLP applications. Its ability to generate text, translate languages, write various forms of creative content, and answer questions instructively results from its training on a large dataset consisting of text and code. Mistral-7B-v0.1 Mistral-7B-v0.1

Large Language Models 110

Large Language Models Neural Network Natural Language Processing NLP 110

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. Its strong integration with Python libraries and support for GPU acceleration ensures efficient model training and experimentation.

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AI Tools Deep Learning Computer Vision Python 207