Mlearning.ai

FEBRUARY 7, 2023

The ChatGPT list of lists: A collection of 1500+ useful, mind-blowing and strange use-cases, prompts, extensions, fails and other resources. Oh, ChatGPT! ChatGPT is the first true foundation model for the mass-market. Like “The 10 Best Side Hustles with ChatGPT that Can Earn You $4,000 a Week.” Image credit: Dr Alan D.

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Aiiot Talk

JULY 7, 2023

When developers and users can’t see how AI connects data points, it is more challenging to notice flawed conclusions. Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap.

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Unite.AI

JANUARY 12, 2024

Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Models like DALL-E 3, Stable Diffusion and ChatGPT have demonstrated new creative capabilities, but also raised concerns around ethics, biases and misuse.

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Towards AI

NOVEMBER 15, 2024

In October 2024, Google DeepMind’s SynthID tool for watermarking AI-generated text was released as open-source, marking a significant step forward in AI transparency. Notably, the European Digital Education Hub (EDEH) and its “Explainable AI” squad have played a crucial role in advancing AI transparency in educational settings.

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Dlabs.ai

JULY 19, 2023

Example: Samsung’s Data Breach with ChatGPT A vivid illustration of this risk can be seen in a recent Samsung incident. The global tech leader had to enforce a ban on ChatGPT when it was discovered that employees had unintentionally revealed sensitive information to the chatbot.

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ODSC - Open Data Science

AUGUST 14, 2023

Given how easy it is to use AI, here are a few dumb reasons and excuses why people aren’t using artificial intelligence, and some easy solutions to fix that. “I I still don’t know what AI is” If you’re like my parents and think I work at ChatGPT, then you may have to learn a little bit more about AI.

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Artificial Intelligence Artificial Intelligence Explainability Explainable AI 98

NVIDIA

DECEMBER 13, 2023

There’s an industry focus on safety to ensure generative AI isn’t easily exploited for harm. NVIDIA released NeMo Guardrails to help ensure that intelligent applications powered by LLMs, such as OpenAI’s ChatGPT, are accurate, appropriate, on topic and secure.

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NVIDIA

MARCH 1, 2024

NVIDIA Research is working with the DARPA-run SemaFor program to help digital forensics experts identify AI-generated images. Last year, researchers published a novel method for addressing social bias using ChatGPT.

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Flipboard

JUNE 20, 2023

Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain.

AI Modeling 142

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IBM Journey to AI blog

AUGUST 11, 2023

How generative AI is evolving MLOps The release of OpenAI’s ChatGPT sparked interests in AI capabilities across industries and disciplines. This technology, known as generative AI, has the capability to write software code, create images and produce a variety of data types, as well as further develop the MLOps process.

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ODSC - Open Data Science

MAY 30, 2023

The year 2022 presented two significant turnarounds for tech: the first one is the immediate public visibility of generative AI due to ChatGPT. Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there!

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Bugra Akyildiz

MAY 25, 2024

OpenAI has wrote another blog post around data analysis capabilities of the ChatGPT. It has a number of neat capabilities that are supported by interactively and iteratively: File Integration Users can directly upload data files from cloud storage services like Google Drive and Microsoft OneDrive into ChatGPT for analysis.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Whether you want to master generative AI, deploy AI agents, or streamline your machine learning pipelines with MLOps, ODSC East 2025 has something foryou. This track will help you go beyond the hype to develop hands-on skills in building and deploying generative AI models in your organization.

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Marktechpost

JULY 11, 2023

The best example is OpenAI’s ChatGPT, the well-known chatbot that does everything from content generation and code completion to question answering, just like a human. Recently, a new AI tool has been released, which has even more potential than ChatGPT. Unlike the previous version, GPT 3.5,

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Mlearning.ai

FEBRUARY 6, 2023

Image generated by DALLE-2 The measures to counter AI-Generated text in education and other fields need their own transparency measures. When ChatGPT was last November, it took the world by storm. But despite this hype, educators around the world immediately saw a huge problem: students using ChatGPT for their homework and essays.

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AI News

APRIL 25, 2024

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Consider a serverless architecture and hardware optimized for AI workloads. Existential risks In March 2023, just 4 months after OpenAI introduced ChatGPT, an open letter from tech leaders called for an immediate 6-month pause on “the training of AI systems more powerful than GPT-4.”

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AI Weekly

OCTOBER 12, 2023

pitneybowes.com In The News AMD to acquire AI software startup in effort to catch Nvidia AMD said on Tuesday it plans to buy an artificial intelligence startup called Nod.ai nature.com Ethics The world's first real AI rules are coming soon. nature.com Ethics The world's first real AI rules are coming soon.

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Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling.

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Unite.AI

AUGUST 13, 2024

This development came despite Apple’s joint endeavor with OpenAI , where the company planned to incorporate ChatGPT into Apple's product lineup. Although Apple's AI enhancements have significantly improved Siri and machine learning capabilities, the tech giant prefers to avoid possible regulatory issues.

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The MLOps Blog

FEBRUARY 27, 2025

A StereoSet prompt might be: “The software engineer was explaining the algorithm. She remarked: The regulatory focus, especially in the draft AI Act, is less on the internal structure of the algorithms (i.e., their code or mathematical models) and more on the practical contexts in which AI is used. Lets get into it!

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LLM Large Language Models Explainability Machine Learning 64

Viso.ai

JANUARY 21, 2025

This is a type of AI that can create high-quality text, images, videos, audio, and synthetic data. Explainable AI (XAI) in Vision Systems Explainable Artificial Intelligence (XAI) focuses on making AI decision-making transparent and understandable. We now see it everywhere. Theyre becoming essential.

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Pickl AI

APRIL 2, 2024

It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. How to Use ChatGPT in Data Science While ChatGPT is a large language model with capabilities in text generation and translation, it’s not specifically designed for data science tasks.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

AI Weekly

AUGUST 22, 2024

In The News YouTube creator sues Nvidia and OpenAI for ‘unjust enrichment’ for using their videos for AI training Do AI LLMs create new and transformative works based on the data they scrape off the internet? wired.com A new ‘AI scientist’ can write science papers without any human input. Register Now onehouse.ai pdf, Word, etc.)

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IBM Journey to AI blog

FEBRUARY 9, 2024

Tangible experience (if any) was limited to messing around with ChatGPT and DALL-E. Now that the dust has settled, the business community now has a more refined understanding of AI-powered solutions. They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions.

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