Unite.AI

NOVEMBER 26, 2024

Artificial intelligence (AI) has come a long way, with large language models (LLMs) demonstrating impressive capabilities in natural language processing. These models have changed the way we think about AI’s ability to understand and generate human language.

Large Language Models 184

Large Language Models Robotics Natural Language Processing AI 184

Unite.AI

MARCH 2, 2025

The Rise of AI and the Memory Bottleneck Problem AI has rapidly transformed domains like natural language processing , computer vision , robotics, and real-time automation, making systems smarter and more capable than ever before. Meta AI has introduced SMLs to solve this problem.

Deep Learning 155

Deep Learning Neural Network Automation AI 155

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. Customers can verify their selections on-screen before proceeding to payment, reducing errors and disputes.

Automation 179

Automation AI AI Neural Network 179

Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. At Jumio, we invest a significant amount of resources on our people, processes, and technology.

Machine Learning 157

Machine Learning AI AI Natural Language Processing 157

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

LLM 114

LLM Natural Language Processing ML Computer Vision 114

Unite.AI

JUNE 10, 2024

With advancements in natural language processing, emotion recognition, and machine learning, these entities are now capable of performing complex tasks, making decisions, and interacting in emotionally intelligent ways. This fosters a more natural interaction, building trust and connection with the user.

Natural Language Processing 205

Natural Language Processing Deep Learning Chatbots Continuous Learning 205

Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

Natural Language Processing 52

Natural Language Processing NLP Auto-classification Data Mining 52

Unite.AI

JUNE 2, 2023

The system continuously learns from user behavior, improving its performance over time. Key Features: AI-powered email categorization Drafts responses and manages follow-ups Extracts information from emails Automates repetitive tasks Continual learning from user behavior 4.

Categorization 258

Categorization Natural Language Processing Automation Machine Learning 258

Flipboard

FEBRUARY 10, 2025

This emerging hybrid workforce has been made possible by advances in the natural language processing of large language models (LLMs) that enable humans to communicate with AI agents in the same way they would with a human team member.

AI 140

AI AI Artificial Intelligence Artificial Intelligence 140

AWS Machine Learning Blog

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

Continuous Learning 95

Continuous Learning NLP ML Natural Language Processing 95

The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). The focus would be on developing AI systems that can reason ethically and align with societal values.

Large Language Models 292

Large Language Models Artificial Intelligence Artificial Intelligence AI 292

Unite.AI

AUGUST 8, 2024

AI-powered lie detection systems analyze data using machine learning , Natural Language Processing (NLP) , facial recognition , and voice stress analysis. These systems employ machine learning, natural language processing (NLP), facial recognition, and voice stress analysis.

Natural Language Processing 144

Natural Language Processing Machine Learning NLP AI 144

Unite.AI

MAY 31, 2023

Continual learning & adaptability: LNNs adapt to changing data even after training, mimicking the brain of living organisms more accurately compared to traditional NNs that stop learning new information after the model training phase. They can handle real-time sequential data effectively.

Neural Network 354

Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

Unite.AI

MARCH 27, 2024

AI: From Origin to Future The journey of AI traces back to visionaries like Alan Turing and John McCarthy , who conceptualized machines capable of learning and reasoning. Recently, AI has permeated every facet of human life, optimizing healthcare, finance, entertainment, and more processes.

Natural Language Processing 274

Natural Language Processing AI AI Algorithm 274

Marktechpost

JUNE 18, 2024

These innovations promise to significantly enhance the capabilities of AI systems in various applications, from autonomous driving to natural language processing. Llama3-70B-SteerLM-RM incorporates robust reinforcement learning mechanisms to fine-tune its performance based on user feedback.

Natural Language Processing 103

Natural Language Processing Artificial Intelligence Artificial Intelligence NLP 103

Unite.AI

DECEMBER 5, 2023

Create a culture of continuous learning and improvement. As the world continues to change, companies are trying to build dynamic cultures to help employees keep up with the latest AI trends and industry developments. This will lead to increased productivity and cost savings for the company.

AI Tools 307

AI Tools AI AI Natural Language Processing 307

IBM Journey to AI blog

MAY 25, 2023

natural language processing and machine learning models) to automate and streamline operational workflows. The benefit of AIOps is that it allows employees to use tools that continuously learn, so knowledge doesn’t leave when someone retires. But are your tools slowing you down?

Automation 226

Automation Artificial Intelligence Artificial Intelligence ESG 226

Unite.AI

AUGUST 4, 2024

By harnessing the power of advanced artificial intelligence and natural language processing, VOICEplug AI enables businesses to automate and optimize customer interactions, leading to reduced costs, increased efficiency, and improved customer satisfaction.

AI Tools 284

AI Tools Automation Artificial Intelligence Artificial Intelligence 284

Marktechpost

AUGUST 3, 2024

The researchers control parameters and FLOPs for both network types, evaluating their performance across diverse domains, including symbolic formula representation, machine learning, computer vision, natural language processing, and audio processing.

Computer Vision 120

Computer Vision Machine Learning NLP Neural Network 120

Unite.AI

JUNE 19, 2024

These projects can range from image recognition systems to natural language processing applications or predictive analytics solutions. Staying Up-to-Date and Continuous Learning The field of AI and ML is rapidly evolving, with new technologies, tools, and best practices emerging continuously.

Software Engineer 176

Software Engineer DevOps Machine Learning ML 176

AWS Machine Learning Blog

MARCH 18, 2025

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction. These insights can include: Potential adverse event detection and reporting.

LLM 113

LLM NLP Data Integration AI 113

Marktechpost

JANUARY 6, 2024

Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans.

Large Language Models 124

Large Language Models Natural Language Processing LLM Artificial Intelligence 124

IBM Journey to AI blog

JANUARY 10, 2024

The traditional approach is well-suited for clearly defined problems with a limited number of possible outcomes, but it’s often impossible to write rules for every single scenario when tasks are complex or demand human-like perception (as in image recognition, natural language processing, etc.).

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Marktechpost

JULY 7, 2024

Enhanced Customer Interaction ChatGPT’s ability to understand & respond to natural language queries with high accuracy has made it a valuable asset for customer service. This improvement means customers can engage in more fluid and meaningful conversations, leading to higher satisfaction rates.

ChatGPT 122

ChatGPT Natural Language Processing Algorithm Artificial Intelligence 122

Marktechpost

MARCH 27, 2024

Continual Learning (CL) poses a significant challenge for ASC models due to Catastrophic Forgetting (CF), wherein learning new tasks leads to a detrimental loss of previously acquired knowledge. Baselines included both non-continual and continual learning approaches, with adaptations for domain-incremental learning.

Machine Learning 107

Machine Learning BERT Continuous Learning Neural Network 107

Pickl AI

MARCH 4, 2025

This new frontier is known as Agentic AI, a form of AI that can make decisions, take actions, and continually learn from interactions without constant human oversight. For example, an IT support system that learns from user interactions to provide more effective solutions. How Agentic AI Works?

Natural Language Processing 52

Natural Language Processing NLP Automation Artificial Intelligence 52

Unite.AI

JULY 20, 2023

NLP Analysis Scalenut uses NLP (Natural Language Processing) AI to generate human-like content. With its advanced Natural Language Processing (NLP) capabilities, it creates quality content effortlessly. When you’re ready, select Export to Editor. 8) The Editor will allow you to optimize your content for SEO.

NLP 245

NLP AI AI Natural Language Processing 245

Aiiot Talk

JULY 24, 2024

AI uses machine learning and natural language processing (NLP) to quickly gather unstructured data and identify trends, sentiments and patterns in a timely manner.” Machine learning enables it to continuously learn and adapt from new data, improving its prediction models over time.

Natural Language Processing 130

Natural Language Processing Machine Learning Algorithm Large Language Models 130

Marktechpost

JULY 11, 2024

Overcoming this challenge is essential for advancing AI research, as it directly impacts the feasibility of deploying large-scale models in real-world applications, such as language modeling and natural language processing tasks.

Natural Language Processing 112

Natural Language Processing AI Research AI Researcher Continuous Learning 112

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. Learning Systems: Continuous learning is embedded in AI agents through feedback loops that help refine their performance.

Natural Language Processing 54

Natural Language Processing Machine Learning AI AI 54

Unite.AI

FEBRUARY 21, 2025

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. Future Directions: Toward Self-Improving AI The next phase of AI reasoning lies in continuous learning and self-improvement.

Large Language Models 150

Large Language Models LLM Natural Language Processing NLP 150

Unite.AI

JANUARY 5, 2024

Continuous learning is the way to go. Consider how Natural Language Processing (NLP) algorithms can assist in making written content on the web more accessible by analyzing the text for readability, suggesting simpler language, and identifying any potential issues that may pose challenges for users with cognitive disabilities.

UX Design 176

UX Design Artificial Intelligence Artificial Intelligence Algorithm 176

Unite.AI

AUGUST 20, 2024

Recent advancements in Natural Language Processing (NLP) and machine learning have greatly enhanced Rufus's ability to understand and process human language. The continuous learning capabilities ensure Rufus becomes more innovative and efficient, adapting to new patterns and user behaviors.

Chatbots 146

Chatbots AI Chatbots Machine Learning Natural Language Processing 146

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

Unite.AI

JULY 31, 2023

This approach is known as self-supervised learning , and it’s one of the most efficient methods to build ML and AI models that have the “ common sense ” or background knowledge to solve problems that are beyond the capabilities of AI models today.

Computer Vision 246

Computer Vision Metadata Natural Language Processing ML 246

Unite.AI

OCTOBER 25, 2024

The platform also includes an innovative AI Cold Calling feature that maintains natural, human-like interactions while scaling voice outreach efforts.

Automation 144

Automation Artificial Intelligence Artificial Intelligence AI 144