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

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Composite AI plays a pivotal role in enhancing interpretability and transparency. Combining diverse AI techniques enables human-like decision-making.

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Composite AI Explainability Black Box AI Neural Network 182

Unite.AI

DECEMBER 1, 2023

SHAP's strength lies in its consistency and ability to provide a global perspective – it not only explains individual predictions but also gives insights into the model as a whole. This method requires fewer resources at test time and has been shown to effectively explain model predictions, even in LLMs with billions of parameters.

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LLM Machine Learning Explainability Algorithm 264

John Snow Labs

JANUARY 25, 2024

The shift across John Snow Labs’ product suite has resulted in several notable company milestones over the past year including: 82 million downloads of the open-source Spark NLP library. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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NLP LLM Generative AI Large Language Models 94

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 includes guidance on using Google Tools to develop your own Generative AI applications.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

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. Prior to Amazon, Evangelia completed her Ph.D. at Language Technologies Institute, Carnegie Mellon University.

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Generative AI Responsible AI Automation LLM 95

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. The development and use of these models explain the enormous amount of recent AI breakthroughs.

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Metadata Explainability Automation Explainable AI 220

Unite.AI

MARCH 27, 2024

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

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Natural Language Processing AI AI Algorithm 278

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 commitment to reliability and explainability is engrained throughout SeekrFlow.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

ODSC - Open Data Science

MARCH 12, 2025

The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis. 20232024: The emergence of GPT-4, Claude, and open-source LLMs dominated discussions, highlighting real-world applications, fine-tuning techniques, and AI safety concerns.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

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

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. He’s the author of the bestselling book “Interpretable Machine Learning with Python,” and the upcoming book “DIY AI.”

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Generative AI Metadata Machine Learning Natural Language Processing 150

ODSC - Open Data Science

MARCH 20, 2025

Day 1: Tuesday, May13th The first official day of ODSC East 2025 will be chock-full of hands-on training sessions and workshops from some of the leading experts in LLMs, Generative AI, Machine Learning, NLP, MLOps, and more. At night, well have our Welcome Networking Reception to kick off the firstday.

Data Science 52

Data Science LLM NLP Machine Learning 52

John Snow Labs

MARCH 20, 2025

They are designed to elaborate on their thought processes, consider multiple hypotheses, evaluate evidence systematically, and explain conclusions transparently. The Medical LLM Reasoner can track multiple variables, hypotheses, and evidence points simultaneously without losing context. To learn more about Medical LLM Reasoner, visit: [link].

LLM 59

LLM Large Language Models Explainability Responsible AI 59

John Snow Labs

MAY 15, 2023

The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models. Responsible AI: Getting from Goals to Daily Practices How is it possible to develop AI models that are transparent, safe, and equitable? Finally, [ van Aken et.

NLP 52

NLP Data Scientist Software Engineer Responsible AI 52

Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

Responsible AI 52

Responsible AI AI AI Data Science 52

Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

Responsible AI 52

Responsible AI AI AI Data Science 52

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.

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Prompt Engineering Prompt Engineer Large Language Models Natural Language Processing 98

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.

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Responsible AI Large Language Models Algorithm Natural Language Processing 98

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.

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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

ODSC - Open Data Science

FEBRUARY 10, 2023

Responsible AI: Debugging AI models for errors, fairness, and explainability Tue, Feb 21, 2023, 12:00 PM — 1:00 PM EST This session will illustrate how to use model Error Analysis, Data Analysis, Explainability/Interpretability, Counterfactual/What-If, and Casual analysis to debug and mitigate model issues faster.

NLP 52

NLP ML Data Mining Data Science 52

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Responsible AI 52

Responsible AI Data Science Deep Learning Machine Learning 52

NYU Center for Data Science

JANUARY 3, 2024

Moreover, her collaboration with Microsoft researchers resulted in (De)Toxigen , a cutting-edge NLP model that significantly enhances hate speech detection capabilities, offering a robust support system for content moderators. Her goal is to empower everyday users, equipping them with tools to improve online safety.

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Responsible AI Data Science NLP Artificial Intelligence 95

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.

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Generative AI Neural Network ChatGPT Natural Language Processing 189

IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. AI has also begun to provide concrete use cases indicating how the technology can help improve customer service in a tangible way.

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Automation AI AI Natural Language Processing 138

AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

LLM 125

LLM Chatbots Explainability Generative AI 125

ODSC - Open Data Science

OCTOBER 3, 2023

You should be comfortable using tools and libraries for NLP to automate this process. A strong ethical and critical thinking framework is essential for ensuring the responsible use of AI in generating content. This involves both quantitative and qualitative analysis.

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Prompt Engineering Prompt Engineer Large Language Models Data Science 97

Marktechpost

JULY 4, 2023

In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model. For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results.

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Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 113

AWS Machine Learning Blog

JUNE 25, 2024

Unlike traditional natural language processing (NLP) approaches, such as classification methods, LLMs offer greater flexibility in adapting to dynamically changing categories and improved accuracy by using pre-trained knowledge embedded within the model. This provides an automated deployment experience on your AWS account.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Marktechpost

SEPTEMBER 19, 2024

This immense parameter size allows the model to process massive datasets and understand intricate language patterns, offering users responses that are contextually relevant and highly accurate. One of the main hurdles that companies like Mistral AI face is the issue of responsible AI usage.

AI Modeling 113

AI Modeling Large Language Models Artificial Intelligence Artificial Intelligence 113

IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. His experience extends across different areas, including natural language processing, generative AI, and machine learning operations.

Machine Learning 135

Machine Learning Generative AI Natural Language Processing Large Language Models 135

AWS Machine Learning Blog

JUNE 25, 2024

This post aims to explain the concept of guardrails, underscore their importance, and covers best practices and considerations for their effective implementation using Guardrails for Amazon Bedrock or other tools. About the Authors Harel Gal is a Solutions Architect at AWS, specializing in Generative AI and Machine Learning.

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Generative AI LLM Machine Learning Chatbots 129

Unite.AI

OCTOBER 23, 2024

Persado’s Motivation AI Platform is highlighted for its ability to personalize marketing content. Can you explain how the platform uses generative AI to understand and leverage customer motivation? It’s a component with a stack of data, machine learning, and a response feedback loop.

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Machine Learning Continuous Learning Generative AI Algorithm 147

ODSC - Open Data Science

JANUARY 1, 2024

Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

Data Science 52

Data Science Machine Learning Deep Learning NLP 52

ODSC - Open Data Science

FEBRUARY 5, 2024

This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings. In the company’s news release, they state that this positions the company at the vanguard of generative AI technology.

NLP 52

NLP Data Science Large Language Models Artificial Intelligence 52

John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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Natural Language Processing Chatbots NLP Large Language Models 52