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.

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Explainability AI AI Natural Language Processing 92

Unite.AI

DECEMBER 12, 2024

While current AI systems excel at processing information and generating responses, the next generation of AI needs to do something far more challenging: take meaningful action in both digital and physical spaces. Or between an AI that can explain code and one that can write and debug it in real-time.

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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

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AI News

FEBRUARY 15, 2024

The researchers trained models of various sizes on up to 100,000 hours of public domain speech data to see if they would observe the same performance leaps that occur in natural language processing models once they grow past a certain scale.

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LLM Large Language Models Big Data Natural Language Processing 336

AI News

DECEMBER 18, 2023

Zheng first explained how over a decade working in digital marketing and e-commerce sparked her interest more recently in data analytics and artificial intelligence as machine learning has become hugely popular. They then analyse and assess risks to ensure compliance with regulations. “There’s a lot of misconceptions, definitely.

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Big Data Neural Network Machine Learning Natural Language Processing 308

Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion. Tangible benefits are key.

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Deep Learning Natural Language Processing Machine Learning AI 144

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.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

More importantly, Automated Reasoning checks can explain why a statement is accurate using mathematically verifiable, deterministic formal logic. This capability makes it particularly valuable for regulated processes where accuracy and governance are essential, such as risk assessment, compliance monitoring, and fraud detection.

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Automation Explainability Auto-complete Generative AI 81

Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. We’re addressing these challenges in our platform, which is designed to handle the complexities of human language in a customer service environment.

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Automation AI AI Generative AI 261

Unite.AI

APRIL 2, 2025

Unlike traditional code with AI, low-code platforms powered by AI like OutSystems Mentor overcome key challenges such as orphaned code, poor code quality, and lack of transparency and explainability. Mentor is a digital worker: a non-human, AI-powered team member trained to complete or support sequential tasks and even entire processes.

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Marktechpost

AUGUST 13, 2024

Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning. Georgia Tech and IBM Research researchers have introduced a novel tool called Transformer Explainer. Transformer Explainer offers a detailed breakdown of how text is processed within a Transformer model.

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Explainability AI Modeling Natural Language Processing Machine Learning 132

Unite.AI

NOVEMBER 28, 2024

GPUs, originally developed for rendering graphics, became essential for accelerating data processing and advancing deep learning. This period saw AI expand into applications like image recognition and natural language processing, transforming it into a practical tool capable of mimicking human intelligence.

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Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. Enter Explainable AI (XAI), a field dedicated to making AI’s decision-making process more transparent and understandable.

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Explainability Explainable AI Natural Language Processing Prompt Engineer 105

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).

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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.

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Automation AI Modeling Natural Language Processing Explainability 162

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.

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Explainable AI AI AI Natural Language Processing 135

IBM Journey to AI blog

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making.

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Generative AI Natural Language Processing AI AI 240

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.

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Generative AI AI AI Explainability 307

IBM Journey to AI blog

MAY 21, 2024

But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. Because Sevilla FC was able to clearly explain its challenges and goals—and IBM asked the right questions—the technology soon followed.

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NLP Natural Language Processing Explainability Data Scientist 211

Towards AI

JANUARY 16, 2025

It begins by explaining GANs using logistic regression on tabular data, making the concept more accessible. Finally, it proposes Reason Code GANs, enhancing the discriminator to provide feedback explaining why generated data is deemed fake. It explains that effective AI agents rely on three pillars: reasoning, acting, and memory.

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Explainability Natural Language Processing Automation Large Language Models 98

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.

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Explainability BERT Large Language Models Deep Learning 103

Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. LLMs excel in advanced natural language processing (NLP) tasks, automated content generation, intelligent search, information retrieval, language translation, and personalized customer interactions.

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Unite.AI

MARCH 11, 2024

Interpretable and Explainable: Using multiple components allows us to interpret how each component contributes to the final output, making these systems interpretable and transparent. This method aims to create AI systems that are both efficient and capable of providing explainable solutions.

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AI Modeling Neural Network Large Language Models AI 298

Unite.AI

SEPTEMBER 15, 2024

The Science Behind the Breakthrough At the heart of this discovery lies an ingenious approach to harnessing the natural movements of atoms within molecules. Professor Thompson explains, “We're essentially using the inherent wiggling and jiggling of atoms to process and store information.”

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Neural Network Natural Language Processing Artificial Intelligence Artificial Intelligence 259

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?

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Generative AI Explainability Explainable AI Natural Language Processing 203

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. techxplore.com Are deepfakes illegal?

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 264

Flipboard

DECEMBER 3, 2024

The agent uses natural language processing (NLP) to understand the query and uses underlying agronomy models to recommend optimal seed choices tailored to specific field conditions and agronomic needs. What corn hybrids do you suggest for my field?”.

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AI News

FEBRUARY 10, 2025

Modernising core systems enables organisations to better harness AI while ensuring regulatory compliance, he explained. The French AI Action Summit promises to refocus the conversation on AI governance to tackle these and other areas of immediate risk and harm, he explained. Leslie called for a renewed focus on public interest AI.

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Big Data AI AI Natural Language Processing 274

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. Explainability also aligns with business ethics and regulatory compliance.

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Composite AI Explainability Neural Network Explainable AI 176

Unite.AI

JUNE 26, 2023

AI models are extremely good at solving narrow problems, such as image classification, natural language processing , speech recognition, etc., They lack subjective experience, self-consciousness, or an understanding of context beyond what they have been trained to process. but they don’t possess consciousness.

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AI AI Neural Network Natural Language Processing 348

Marktechpost

APRIL 5, 2024

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Neural Network Natural Language Processing Categorization Explainability 124

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

Unite.AI

JULY 4, 2024

TensorFlow/Keras For TensorFlow users, Gemma 2 is available through Keras: import tensorflow as tf from keras_nlp.models import GemmaCausalLM # Load the model model = GemmaCausalLM.from_preset("gemma_2b_en") # Generate text prompt = "Explain the concept of quantum entanglement in simple terms."

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Large Language Models LLM Natural Language Processing Explainability 307

Unite.AI

APRIL 17, 2025

The turning point came during my second masters in AI at the University of Washington, where my thesis focused on Natural Language Processing. Can you explain the deeper AI capabilities behind your platform? Wokelo is more than just an LLM with a UI wrapper.

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Data Scarcity Automation LLM Large Language Models 144

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. Fostering collaboration will still be critical.

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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.

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Deep Learning Computer Vision Large Language Models Explainability 80

Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. Several false positives occurred with the posts that contained emotional language but did not indicate any signs of immediate distress.

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Data Science Machine Learning Natural Language Processing NLP 101