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.

AI 278

AI AI Natural Language Processing Automation 278

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 147

Natural Language Processing Machine Learning NLP AI 147

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

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 104

Natural Language Processing Artificial Intelligence Artificial Intelligence Conversational AI 104

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 312

AI Tools AI AI Natural Language Processing 312

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 75

Continuous Learning NLP ML Natural Language Processing 75

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 290

AI Tools Automation Artificial Intelligence Artificial Intelligence 290

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 3, 2023

We are committed to helping companies leverage their wealth of institutional knowledge and expertise and enable their employees to continually learn and grow. It’s about turning weaknesses into strengths and capitalizing on individual areas of expertise to foster a continuous learning culture. It’s a thrilling journey.

Machine Learning 246

Machine Learning Algorithm Natural Language Processing Generative AI 246

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 122

Computer Vision Machine Learning NLP Neural Network 122

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 189

Large Language Models Robotics AI AI 189

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 182

Software Engineer DevOps Machine Learning ML 182

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 127

Large Language Models Natural Language Processing LLM AI 127

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

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 109

Machine Learning BERT Neural Network Continuous Learning 109

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 125

ChatGPT Natural Language Processing Artificial Intelligence Artificial Intelligence 125

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 162

Machine Learning AI AI Natural Language Processing 162

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

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 182

UX Design Artificial Intelligence Artificial Intelligence Algorithm 182

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 Large Language Models Algorithm 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 113

Natural Language Processing AI Research AI Researcher Continuous Learning 113

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 150

Chatbots AI Chatbots Machine Learning AI 150

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

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. Such an ensemble approach could help improve coverage over rare tasks and languages by sharing representations learned across experts.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

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 147

Automation Artificial Intelligence Artificial Intelligence AI 147

Marktechpost

DECEMBER 23, 2024

While domain experts possess the knowledge to interpret these texts accurately, the computational aspects of processing large corpora require expertise in machine learning and natural language processing (NLP).

Large Language Models 80

Large Language Models NLP Natural Language Processing BERT 80

Unite.AI

MARCH 19, 2024

These chatbots autonomously perform actions, replicate human decision-making, and learn from interactions. A key development is their enhanced ability to understand human language with greater nuance, thanks to advances in natural language processing and large language models.

Chatbots 147

Chatbots AI Chatbots Automation Natural Language Processing 147

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. Complementing this trend is the notable rise in popularity of related topics.

Prompt Engineer 182

Prompt Engineer Prompt Engineering NLP Generative AI 182

Unite.AI

JUNE 14, 2024

Throughout my career, I have been deeply focused on natural language processing (NLP) techniques and machine learning. Continuous learning is crucial for bridging this gap. Initially, these technologies were based on simplistic rules-based systems. Moreover, addressing the fear of job security is essential.

Large Language Models 130

Large Language Models Generative AI AI AI 130

Marktechpost

DECEMBER 10, 2024

1958: Frank Rosenblatt introduced the Perceptron , the first machine capable of learning, laying the groundwork for neural network applications. Learning Context-aware, continuous learning. Task-specific, batch-based learning. Processing Fully parallel and distributed. Computational units (nodes).

Neural Network 109

Neural Network Convolutional Neural Networks Natural Language Processing Algorithm 109

Marktechpost

NOVEMBER 16, 2024

Large language models (LLMs) have revolutionized natural language processing by offering sophisticated abilities for a range of applications. However, these models face significant challenges.

Large Language Models 85

Large Language Models Natural Language Processing NLP Continuous Learning 85

Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise. Engage in hands-on projects and join AI communities for practical experience.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

Chatbots Life

AUGUST 23, 2024

LLM, with its advanced natural language processing capabilities, can instantly analyze customer queries, understand the context, and generate relevant responses. The continuous learning and improvement capabilities of LLM promise long-term benefits. What’s more?

Conversational AI 75

Conversational AI Chatbots Large Language Models LLM 75

Pickl AI

OCTOBER 9, 2024

Summary: Small Language Models (SLMs) are transforming the AI landscape by providing efficient, cost-effective solutions for Natural Language Processing tasks. With innovations in model compression and transfer learning, SLMs are being applied across diverse sectors. What Are Small Language Models (SLMs)?

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. A Vision for ML² In the beginning, ML² was simply the hub for NLP research at NYU.

Machine Learning 83

Machine Learning NLP ML Data Science 83

The MLOps Blog

FEBRUARY 15, 2024

The rapid advancements of Large Language Models (LLMs) are changing the day-to-day work of ML practitioners and how company leadership thinks about AI. Are LLMs entirely overtaking AI and natural language processing (NLP)? Could this paradigm shift lead to widespread job reductions?

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59