Google Research AI blog

APRIL 19, 2023

Our work advances Responsible AI (RAI) in areas such as computer vision , natural language processing , health , and general purpose ML models and applications. Below, we share examples of our approach to Responsible AI and where we are headed in 2023.

Responsible AI 120

Responsible AI Computer Vision ML AI 120

Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

Flipboard

FEBRUARY 19, 2025

Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption. But first, we explain technical architecture that makes Alfred such a powerful tool for Andurils workforce.

Responsible AI 81

Responsible AI Natural Language Processing Explainability Large Language Models 81

Unite.AI

FEBRUARY 7, 2024

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP).

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

IBM Journey to AI blog

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. The goal is to free up time for public employees to engage in high value meetings, creative thinking and meaningful work.

Generative AI 307

Generative AI AI AI Explainability 307

Unite.AI

JULY 11, 2023

Introduction to Responsible AI Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: No What will AI enthusiasts learn? What is Responsible Artificial Intelligence ? An introduction to the 7 Responsible AI principles of Google.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field. Notable acquisitions include companies like Xnor.a

Machine Learning 223

Machine Learning NLP AI AI 223

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). This could redefine how knowledge transfer and innovation occur.

Large Language Models 297

Large Language Models Artificial Intelligence Artificial Intelligence AI 297

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. Milestones such as IBM's Deep Blue defeating chess grandmaster Garry Kasparov in 1997 demonstrated AI’s computational capabilities.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278

AWS Machine Learning Blog

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 114

Generative AI Chatbots AI AI 114

Marktechpost

MAY 30, 2024

Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It also introduces Google’s 7 AI principles.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices. at Language Technologies Institute, Carnegie Mellon University. Prior to Amazon, Evangelia completed her Ph.D.

Generative AI 89

Generative AI Automation Responsible AI LLM 89

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Manage a range of machine learning models with watstonx.ai

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.

Prompt Engineer 83

Prompt Engineer Prompt Engineering Generative AI Software Development 83

Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Transparency is fundamental for responsible AI usage.

Composite AI 182

Composite AI Explainability Neural Network Explainable AI 182

Unite.AI

JANUARY 16, 2025

Undetectable AI Undetectable AI uses advanced algorithms and natural language processing (NLP) techniques to subtly alter the text, making it more difficult for AI detectors to identify it as machine-generated. What makes Surfer unique is its emphasis on responsible AI usage.

AI 130

AI AI Responsible AI Natural Language Processing 130

Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5

Large Language Models 117

Large Language Models Natural Language Processing NLP Responsible AI 117

Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 122

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. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Marktechpost

SEPTEMBER 23, 2024

The creation of MMMLU reflects OpenAI’s focus on measuring models’ real-world proficiency, especially in languages that are underrepresented in NLP research. Including diverse languages ensures that models are effective in English and can perform competently in other languages spoken globally.

OpenAI 120

OpenAI NLP Natural Language Processing Large Language Models 120

Marktechpost

AUGUST 9, 2024

introduces advanced natural language processing (NLP) capabilities. These enhancements allow the AI to understand and interpret human language better, making interactions with the AI more intuitive and seamless. The increased computational capacity also enables EXAONE 3.0 Image Source EXAONE 3.0

AI Research 107

AI Research AI Researcher NLP Natural Language Processing 107

ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. For those who might not know, this role acts as a bridge between human intent and machine understanding, shaping the interactions we have with AI systems.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models NLP 98

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Foundation models offer a breakthrough in AI capabilities to enable scalable and efficient deployment across various domains.

Metadata 220

Metadata Explainability Automation Explainable AI 220

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. His experience extends across different areas, including natural language processing, generative AI and machine learning operations.

LLM 76

LLM ML Natural Language Processing Machine Learning 76

IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

ChatGPT 170

ChatGPT Chatbots Natural Language Processing AI Chatbots 170

Unite.AI

JULY 1, 2024

At the core of Seekr's technology is an independent search engine, powered by proprietary AI and utilizing natural language processing (NLP) to produce a Seekr Score and Political Lean Indicator. Seekr’s approach to explainability ensures that AI model responses are understandable and traceable.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

John Snow Labs

OCTOBER 2, 2023

In the ever-evolving landscape of natural language processing (NLP), staying at the forefront of innovation is not just an aspiration; it’s a necessity. Whether you’re a seasoned NLP practitioner seeking to enhance your workflow or a newcomer eager to explore the cutting edge of NLP, this blog post will be your guide.

Responsible AI 52

Responsible AI Automation NLP Natural Language Processing 52

Unite.AI

FEBRUARY 21, 2025

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge.

Large Language Models 154

Large Language Models Natural Language Processing LLM NLP 154

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

Marktechpost

SEPTEMBER 3, 2024

Key Features and Capabilities of miniG One of the most remarkable aspects of miniG is its ability to perform complex language tasks with impressive accuracy. It excels in natural language processing (NLP) tasks such as text generation, sentiment analysis, translation, and summarization.

Natural Language Processing 111

Natural Language Processing Responsible AI AI AI 111

John Snow Labs

OCTOBER 19, 2023

Understanding the Impact of Bias on NLP Models Why test NLP models for Bias? Natural Language Processing (NLP) models rely heavily on bias to function effectively. This is due to the fact that bias helps NLP models to identify important features and relationships among data points.

NLP 52

NLP Natural Language Processing Machine Learning AI 52

Unite.AI

AUGUST 28, 2024

Language models has witnessed rapid advancements, with Transformer-based architectures leading the charge in natural language processing. This architecture allows Jamba to balance memory usage, throughput, and performance, making it a powerful tool for a wide range of NLP tasks.

Large Language Models 130

Large Language Models NLP Natural Language Processing Responsible AI 130

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT Natural Language Processing 189

John Snow Labs

SEPTEMBER 4, 2023

The field of Natural Language Processing (NLP) has been greatly impacted by the advancements in machine learning, leading to a significant improvement in linguistic understanding and generation. However, new challenges have emerged with the development of these powerful NLP models. Is Your NLP Model Truly Robust?

NLP 52

NLP Automation Natural Language Processing Large Language Models 52

NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

Responsible AI 98

Responsible AI Large Language Models Algorithm Natural Language Processing 98

John Snow Labs

DECEMBER 2, 2024

John Snow Labs is the developer behind Spark NLP, Healthcare NLP, and Medical LLMs. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

LLM 52

LLM NLP Machine Learning ML 52