Unite.AI

DECEMBER 19, 2024

By integrating large language models (LLMs) to guide these interactions, PARTNR can assess robots on critical elements like coordination and task tracking, shifting them from mere agents to genuine partners capable of working fluidly with human counterparts. It will be a huge exercise to generalize for the 8.2

Robotics 221

Robotics Deep Learning AI AI 221

AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. What is Text Summarization for NLP? This video is brought to you by AssemblyAI and is part of our Deep Learning Explained series.

NLP 256

NLP AI Modeling Machine Learning AI 256

Unite.AI

DECEMBER 27, 2024

Natural Language Processing (NLP) models like ChatGPT are trained on billions of text samples to understand language nuances, cultural references, and context. Many platforms collect personal information without clearly explaining how it will be used.

AI 170

AI AI Natural Language Processing AI Modeling 170

Towards AI

FEBRUARY 10, 2025

Natural language processing NLP technology allows these agents to understand and interpret human language so that they can efficiently interact with users and process information from text sources. The working of Agentic AI involves the use of several technologies that make it capable of doing its job.

Explainability 85

Explainability AI AI Natural Language Processing 85

Analytics Vidhya

JULY 27, 2023

Introduction Language barriers can hinder global communication, but AI and natural language processing offer solutions. Language Models (LLMs) trained on vast text data have deep language understanding, enabling seamless translation between people of different languages.

Natural Language Processing 269

Natural Language Processing Explainability AI AI 269

Unite.AI

JULY 5, 2023

ALiBi Support To explain this feature, let’s consider a question: How can MPT-30B understand and make predictions for longer sequences than what it was trained on? The post MPT-30B: MosaicML Outshines GPT-3 With A New LLM To Push The Boundaries of NLP appeared first on Unite.AI. For the latest AI news, visit unite.ai.

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LLM NLP Large Language Models Generative AI 263

Unite.AI

MARCH 6, 2025

We also make sure AI systems are explainable and their decisions can be easily understood to provide full transparency. Explainability is a key part of our approach, making sure that AI decisions are understandable for both businesses and consumers.

Automation 164

Automation AI Modeling Natural Language Processing Explainability 164

Unite.AI

JANUARY 1, 2025

Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. In cases where a customer might need support with online platforms, AI can respond in real time, providing customers with instructions in plain, simple language.

Explainable AI 138

Explainable AI AI AI Natural Language Processing 138

AWS Machine Learning Blog

MARCH 7, 2025

The graph, stored in Amazon Neptune Analytics, provides enriched context during the retrieval phase to deliver more comprehensive, relevant, and explainable responses tailored to customer needs. This new capability integrates the power of graph data modeling with advanced natural language processing (NLP).

Auto-complete 116

Auto-complete Natural Language Processing Explainability Metadata 116

John Snow Labs

APRIL 3, 2025

However, with Healthcare NLP s task-based pretrained pipelines, these challenges can be overcome with simple one-liner solutions that tackle everything from entity recognition to de-identification. Similarly, Healthcare NLP pipelines follow this principle, enabling seamless text processing for clinical applications.

NLP 40

NLP Explainability Large Language Models Natural Language Processing 40

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Interpreting Language Models with Contrastive Explanations Kayo Yin, Graham Neubig. Explaining black box text modules in natural language with language models Chandan Singh, Aliyah R.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

AI Weekly

APRIL 11, 2024

No legacy process is safe. And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Large Language Models 264

IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Generative AI 307

Generative AI AI AI Explainability 307

IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is generative AI? What is watsonx.governance?

Generative AI 203

Generative AI Explainability Explainable AI Natural Language Processing 203

Flipboard

FEBRUARY 16, 2023

Natural language processing ( NLP ), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ChatGPT. million ($2.9

NLP 123

NLP Data Scientist Natural Language Processing AI 123

Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. Our teams careful selection and annotation of data points has given the dataset a strong foundation for NLP applications to detect distress signals, making further processes more straightforward and accurate.

Data Science 98

Data Science Machine Learning Natural Language Processing NLP 98

IBM Journey to AI blog

MARCH 27, 2024

In recent years, remarkable strides have been achieved in crafting extensive foundation language models for natural language processing (NLP). As previously explained, spend data is more readily available in an organization and is a common proxy of quantity of goods/services.

ESG 238

ESG Categorization Large Language Models NLP 238

Towards AI

JULY 19, 2023

We speak with each other using various languages Ex: English, German, French, Hindi, etc… Photo by Alexandra on Unsplash Natural Language Processing (NLP) is just one part of Artificial Intelligence (AI) that helps Computers understand and process human language. Everything is powered by NLP.

NLP 98

NLP Natural Language Processing AI AI 98

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Explainability is essential for accountability, fairness, and user confidence. Transparency is fundamental for responsible AI usage.

Composite AI 179

Composite AI Explainability Black Box AI Explainable AI 179

Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Beyond traditional search engines, these models represent a new era of intelligent Web browsing agents that go beyond simple keyword searches.

LLM 236

LLM BERT Natural Language Processing NLP 236

Marktechpost

JULY 22, 2024

Authorship Verification (AV) is critical in natural language processing (NLP), determining whether two texts share the same authorship. This lack of explainability is a gap in academic interest and a practical concern. This is a critical limitation as the demand for explainable AI grows.

Explainability 103

Explainability BERT Large Language Models Deep Learning 103

Unite.AI

MAY 31, 2023

Hence, it becomes easier for researchers to explain how an LNN reached a decision. Natural Language Understanding Due to their adaptability, real-time learning capabilities, and dynamic topology, Liquid Neural Networks are very good at understanding long Natural Language text sequences.

Neural Network 354

Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

AWS Machine Learning Blog

DECEMBER 23, 2024

In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria. How graphs make RAG more accurate In this section, we discuss the ways in which graphs make RAG more accurate.

Generative AI 122

Generative AI Natural Language Processing Prompt Engineering Prompt Engineer 122

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.

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Towards AI

FEBRUARY 6, 2025

Meme shared by hitoriarchie TAI Curated section Article of the week Unlocking the Potential of Meta LLaMA: A Deep Dive into Its Design, Architecture, and Applications By Shenggang Li This article explores Metas Llama, a large language model designed for efficiency and accessibility.

Deep Learning 72

Deep Learning Computer Vision Large Language Models Explainability 72

Unite.AI

MARCH 27, 2024

Moreover, breakthroughs in natural language processing (NLP) and computer vision have transformed human-computer interaction and empowered AI to discern faces, objects, and scenes with unprecedented accuracy.

Natural Language Processing 276

Natural Language Processing AI AI Algorithm 276

AI Weekly

JUNE 1, 2023

ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. siliconangle.com Can AI improve cancer care? Given concerns about threats to privacy, and security, can AI be used to improve care in oncology?

Generative AI 227

Generative AI Robotics Large Language Models Artificial Intelligence 227

Unite.AI

AUGUST 28, 2023

An improved outcome is produced by enhancing the data with machine learning (ML) and natural language processing (NLP). Let’s first explain the difference between AR/VR. Therefore, AI is playing a more significant role in sustainable manufacturing.

Computer Vision 244

Computer Vision Natural Language Processing Machine Learning AI 244

IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. ” Are foundation models trustworthy? .

Metadata 220

Metadata Explainability Automation Explainable AI 220

Towards AI

SEPTEMBER 7, 2023

The encoder will process the sentence word by word (technically token by token as per Natural Language Processing (NLP) terminology). Figure 1: Image courtesy [link] Figure 1 shows an example of French to English-translation. The model contains two parts: the encoder and the decoder.

Explainability 126

Explainability Neural Network Natural Language Processing NLP 126

Flipboard

FEBRUARY 19, 2025

But first, we explain technical architecture that makes Alfred such a powerful tool for Andurils workforce. The retrieval component uses Amazon Kendra as the intelligent search service, offering natural language processing (NLP) capabilities, machine learning (ML) powered relevance ranking, and support for multiple data sources and formats.

Responsible AI 81

Responsible AI Natural Language Processing Explainability Large Language Models 81

ODSC - Open Data Science

MARCH 10, 2025

Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision. The real game-changer, however, was the rise of Large Language Models (LLMs).

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

DECEMBER 5, 2024

Could you walk us through the role of natural language processing (NLP) in the platform’s chatbot? How does it enhance the compliance process for your users? Cypago’s platform incorporates advanced natural language processing (NLP) to power its intelligent chatbot, which acts as a virtual compliance assistant.

Automation 146

Automation Natural Language Processing NLP Chatbots 146

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this post, we illustrate the use of Clarify for explaining NLP models.

Explainability 81

Explainability Algorithm Natural Language Processing Machine Learning 81

Marktechpost

JUNE 9, 2024

It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training. Natural Language Processing Basics This course covers the basics of natural language processing (NLP), its evolution, and everyday applications.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 98

AWS Machine Learning Blog

DECEMBER 5, 2024

For use cases where accuracy is critical, customers need the use of mathematically sound techniques and explainable reasoning to help generate accurate FM responses. Despite the advancements in FMs, models can still produce hallucinationsa challenge many of our customers face.

Responsible AI 102

Responsible AI AI Tools AI AI 102