Marktechpost

JANUARY 17, 2024

Artificial intelligence (AI) systems are expanding and advancing at a significant pace. The two main categories into which AI systems have been divided are Predictive AI and Generative AI. While Generative AI creates original content, Predictive AI concentrates on making predictions using data.

Machine Learning 94

Machine Learning Responsible AI Artificial Intelligence Artificial Intelligence 94

IBM Journey to AI blog

JUNE 23, 2023

As you encounter new generative AI solutions and unique AI foundation models for F&A, you may find yourself overwhelmed by all the options. What is generative AI, what are foundation models, and why do they matter? Figure 3 highlights ancillary benefits that conversational AI technology provides.

Generative AI 162

Generative AI AI AI AI Strategy 162

Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields.

Artificial Intelligence 127

Artificial Intelligence Artificial Intelligence BERT Large Language Models 127

John Snow Labs

APRIL 23, 2024

First Generative AI in Healthcare Survey Uncovers Trends, Challenges, and Best Practices in Generative AI among Healthcare and Life Sciences Practitioners We are glad to announce today the findings of the inaugural Generative AI in Healthcare Survey.

Generative AI 52

Generative AI Large Language Models Responsible AI Explainability 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 Deep Learning Data Science Machine Learning 52

ODSC - Open Data Science

NOVEMBER 21, 2023

The last two years have clearly shown how Generative AI has the potential to revolutionize many industries and solve complex problems. Though there are great potential benefits, it is important to ensure this technology is developed and used responsibly. Sarah warned of the potential risks of generative AI.

Generative AI 52

Generative AI Responsible AI Data Science AI 52

IBM Journey to AI blog

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. This is especially true in the HR function, which has been pushed to the forefront of the new AI era.

Auto-complete 175

Auto-complete Generative AI AI Strategy Responsible AI 175

AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

Big Data 252

Big Data Large Language Models AI Modeling Generative AI 252

AI News

MARCH 7, 2024

Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices. OpenAI is adopting a similar approach with Sora ; in January, the company announced an initiative to promote responsible AI usage among families and educators.

OpenAI 254

OpenAI Prompt Engineer Prompt Engineering Large Language Models 254

AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

Big Data 229

Big Data AI AI OpenAI 229

Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. It also raises ethical concerns around issues such as bias and the potential misuse of generated content. Disclaimer: This article uses Cohere for text generation. What is Generative AI?

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 93

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

AI 290

AI AI Responsible AI Explainability 290

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.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI.

AI Developer 261

AI Developer AI Development AI AI 261

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

ML 106

ML Generative AI AI AI 106

Unite.AI

JULY 3, 2023

While it’s incredibly important that the White House took this first step in defining the guiding principles for responsible AI, we don’t believe it went far enough to provide guidance for organizations and not just individuals worried about appealing an AI-based decision.

Responsible AI 162

Responsible AI AI AI Explainability 162

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

Metadata 193

Metadata Explainability Automation AI 193

ODSC - Open Data Science

FEBRUARY 12, 2024

It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively. Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights.

Automation 98

Automation Data Science Explainability Data Scientist 98

Flipboard

NOVEMBER 28, 2023

In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. To realize the full potential of generative AI, however, it’s important to carefully reflect on any potential risks.

Responsible AI 144

Responsible AI Artificial Intelligence Artificial Intelligence AI 144

IBM Journey to AI blog

DECEMBER 4, 2023

The AI Ethics Board: a central, cross-disciplinary body that supports a centralized governance, review and decision-making process for IBM ethics policies, practices, communications, research, products and services. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

AI 206

AI AI Metadata Explainable AI 206

Aiiot Talk

NOVEMBER 30, 2023

“Across all industries, ethical AI has quickly become the focus of attention.” The Role of Ethical AI in Business Ethical AI is unbiased, fair and transparent. Its output is easily explainable and traceable, meaning you can hold it accountable and verify its conclusions. Truthfully, it’s best to be proactive.

Algorithm 233

Algorithm Artificial Intelligence Artificial Intelligence AI 233

Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Metadata Large Language Models 113

IBM Journey to AI blog

OCTOBER 9, 2023

As governments around the globe continue experimenting with the use of AI, and looking into ways to tap into foundational models offered by generative AI, one important question stands out: How will citizens benefit from the technology? IBM has long argued that AI systems need to be transparent and explainable.

Automation 135

Automation AI AI Natural Language Processing 135

Flipboard

DECEMBER 18, 2023

Kevin McCandless, an AWS senior solutions architect, emphasizes the significance of machine learning (ML), a fundamental AI technique employing algorithms and historical data to make predictions. He also introduces the concept of generative AI (gen AI), which signifies the next step in the evolution of AI and ML.

Artificial Intelligence 177

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 177

NVIDIA

MARCH 1, 2024

Transparency: Making AI Explainable To create a trustworthy AI model, the algorithm can’t be a black box — its creators, users and stakeholders must be able to understand how the AI works to trust its results. NVIDIA is also part of the National Institute of Standards and Technology’s U.S.

AI 136

AI AI AI Modeling Algorithm 136

ODSC - Open Data Science

FEBRUARY 5, 2024

In the company’s news release, they state that this positions the company at the vanguard of generative AI technology. The NLP Lab platform, a no-code solution for AI model training and publishing, has seen a fivefold increase in usage.

NLP 52

NLP Large Language Models Data Science Artificial Intelligence 52

IBM Journey to AI blog

MARCH 4, 2024

AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development.

AI 267

AI AI Artificial Intelligence Artificial Intelligence 267

AWS Machine Learning Blog

NOVEMBER 29, 2023

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity.

Responsible AI 104

Responsible AI Generative AI AI AI 104

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 Large Language Models 52

ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

Data Scientist 98

Data Scientist AI AI Responsible AI 98

John Snow Labs

JANUARY 29, 2024

John Snow Labs is leading efforts in responsible AI for healthcare through the development of the open-source LangTest library, which now supports over 100 test types of benchmarks that can automatically evaluate LLMs.

Natural Language Processing 52

Natural Language Processing Chatbots Large Language Models NLP 52

ODSC - Open Data Science

MAY 22, 2023

He said of Google that the company “ acted very responsibly ” regarding AI technology. He also went on to explain to MIT Technology Review that there are also “ a lot of good things about Google. ” Goldman Sachs released a report earlier this spring on the economic impact of generative AI.

Data Science 102

Data Science AI AI Artificial Intelligence 102

Snorkel AI

JANUARY 26, 2024

The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. Slides for this session. Slides for this session.

LLM 64

LLM Large Language Models Explainability Data Science 64

ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here!

Large Language Models 98

Large Language Models Data Science Artificial Intelligence Artificial Intelligence 98

Unite.AI

JUNE 19, 2023

He's former Gartner and MIT, and it's a really good book to explain a monetization framework for data. Obviously, with generative AI capabilities it's generating a lot of interest as well. Talking about generative AI, how do you see this technology transforming the future? I'm very excited for it.

Generative AI 244

Generative AI Responsible AI Artificial Intelligence Artificial Intelligence 244

IBM Journey to AI blog

FEBRUARY 22, 2024

The CDAO includes five ethical principles of responsible, equitable, traceable, reliable, and governable as part of its responsible AI toolkit. Based on the US military’s existing ethics framework, these principles are grounded in the military’s values and help uphold its commitment to responsible AI.

Responsible AI 254

Responsible AI Metadata Artificial Intelligence Artificial Intelligence 254

ODSC - Open Data Science

JANUARY 10, 2024

Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short.

Large Language Models 52

Large Language Models LLM Deep Learning ML 52