Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

Unite.AI

AUGUST 25, 2023

One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? For someone who is being falsely accused, explainability has a whole different meaning and urgency.

Explainability 246

Explainability Explainable AI AI AI 246

AI News

MAY 3, 2024

. “Our AI engineers built a prompt evaluation pipeline that seamlessly considers cost, processing time, semantic similarity, and the likelihood of hallucinations,” Ros explained. It’s obviously an ambitious goal, but it’s important to our employees and it’s important to our clients,” explained Ros.

Big Data 235

Big Data Generative AI AI AI 235

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. “There’s a lot of misconceptions, definitely.

Big Data 218

Big Data Neural Network Natural Language Processing Machine Learning 218

Marktechpost

APRIL 5, 2024

In their paper, the researchers aim to propose a theory that explains how transformers work, providing a definite perspective on the difference between traditional feedforward neural networks and transformers. Despite their widespread usage, the theoretical foundations of transformers have yet to be fully explored.

Neural Network 127

Neural Network Natural Language Processing Categorization Explainability 127

AI News

FEBRUARY 23, 2024

The announcement comes just days after Stability AI’s largest rival, OpenAI, unveiled Sora —a brand new AI model capable of generating nearly-realistic, high-definition videos from simple text prompts. Our commitment to ensuring generative AI is open, safe, and universally accessible remains steadfast,” explained Stability AI.

Big Data 229

Big Data AI AI OpenAI 229

Mlearning.ai

JULY 23, 2023

I’m going to explain the detail of Text Classification using Naive Bayes algorithm (Naive Bayes Classifier). This is our new sentence: “I love my dog” For humans, this text would definitely be classified as positive because we understand its context and meaning. How it works? However, for a computer, it doesn’t work the same way.

Explainability 52

Explainability Categorization Algorithm NLP 52

Flipboard

OCTOBER 13, 2023

In this first clip, he explains why he thinks generative AI is a major architectural shift in computing, and why it represents an opportunity for startups to get a leg up on incumbents. ” Anu does not think generative AI tools for writing software threaten the role of developers.

Generative AI 144

Generative AI Explainability Software Engineer Large Language Models 144

Towards AI

JANUARY 2, 2024

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field. Healthcare, Security, and more.

Computer Vision 109

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 109

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.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Artificial Corner

NOVEMBER 29, 2023

Keep in mind that the evaluation time, attributes, definitions, and contributions within the company will be different for each case. I would like this self-assessment to justify a high performance rating To help with this task, I will provide definitions for each of the [ 03 ] attributes and summary of my projects and contributions.

ChatGPT 98

ChatGPT Explainability AI AI 98

AI News

MARCH 7, 2024

Moving to text-to-image, Stability AI announced an early preview of Stable Diffusion 3 at the end of February, just days after OpenAI unveiled Sora, a brand new AI model capable of generating almost realistic, high definition videos from simple text prompts. While progress marches on, perfection remains difficult to attain.

OpenAI 254

OpenAI Prompt Engineer Prompt Engineering Large Language Models 254

IBM Journey to AI blog

JANUARY 25, 2024

The equation looks like this: A further study provided more calculations that refine the statistical definitions of a wise crowd, including ignorance of other members’ predictions and inclusion of those with maximally different (negatively correlated) predictions or judgements. How are you making your model explainable?

AI 227

AI AI Explainability Algorithm 227

Towards AI

FEBRUARY 27, 2024

This allows for the definition of multi-level separators. This article explores the methods of semantic chunking, explaining their principles and applications. Most commonly used chunking methods are rule-based, employing techniques such as fixed chunk size or overlap of adjacent chunks.

Explainability 96

Explainability Algorithm AI AI 96

Marktechpost

APRIL 24, 2024

The Definitive Guide to DAX As the name suggests, this book is a guide to the DAX language for data modeling and analytics. The book also explains the ways the data model and DAX measures can be optimized. The Definitive Guide to Power Query (M) This book teaches how to use Power Query and its M language for better data modeling.

Business Intelligence 105

Business Intelligence Artificial Intelligence Artificial Intelligence Explainability 105

Towards AI

FEBRUARY 6, 2024

So, with this post, I definitely don’t want to talk down the ML researcher career, but I want to shed some light on what the harsh reality of being an ML researcher can look like and whether it is something for you. Sigh… The last rejection was so stupid… I just have to explain it to you in a second.

ML 86

ML Machine Learning Explainability OpenAI 86

IBM Journey to AI blog

JUNE 26, 2023

One of the few pre-scripted questions I ask in most of the episodes is about the guest’s definition of “hybrid cloud.” Rob High explained the increasing importance of running applications in non-traditional places and on non-traditional devices, which we also often call “on the edge.”

DevOps 156

DevOps Explainability Automation AI 156

Towards AI

JULY 22, 2023

So, don’t worry, this is where Explainable AI, also known as XAI, comes in. HEALTHCARE WITH AI: SOURCE: [link] Let’s go through some instances to help you understand why Explainable AI is so important: Imagine a healthcare system in which, instead of speaking with a doctor, you interact with an AI system to assist you with diagnosis.

Explainable AI 80

Explainable AI Explainability Neural Network Artificial Intelligence 80

Flipboard

DECEMBER 2, 2023

The learning process is sensitive to small changes in the training environment,” explains Bjelonic. Remember, too, that while this is definitely a research paper, Swiss-Mile is a company that wants to get this robot out into the world doing useful stuff.

Robotics 178

Robotics Explainability 178

ODSC - Open Data Science

AUGUST 14, 2023

Funny enough, you can use AI to explain AI. When I asked Bard to explain AI to me like I’m 5 (as we may have to do with our less tech-savvy friends, family, and coworkers), it said: “Artificial intelligence (AI) is like a really smart machine that can do things that humans can do, like understanding language, learning, and making decisions.”

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

Marktechpost

MAY 8, 2024

Different definitions of safety exist, from risk reduction to minimizing harm from unwanted outcomes. Functional safety: Integrating deep learning into safety-critical systems poses challenges, particularly in meeting existing safety standards and ensuring the explainability, stability, and robustness of neural networks.

Deep Learning 107

Deep Learning Neural Network Data Scarcity Natural Language Processing 107

AWS Machine Learning Blog

FEBRUARY 27, 2024

The SageMaker project template includes seed code corresponding to each step of the build and deploy pipelines (we discuss these steps in more detail later in this post) as well as the pipeline definition—the recipe for how the steps should be run. For a detailed understanding, we use Amazon SageMaker Clarify.

Machine Learning 112

Machine Learning DevOps Data Quality Data Scientist 112

AI Weekly

APRIL 20, 2023

chinatalk.media Nobody Can Explain For Sure Why ChatGPT Is So Good At Parents are used to asking or shall we say telling their children to explain themselves, especially when a child has gotten into the cookie jar or knocked over an expensive vase. ted.com China’s New AI Regulations: Are They Enforcable?

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Robotics Natural Language Processing 130

Marktechpost

JANUARY 30, 2024

Starting with the definition of general design formulations for model architecture and the training pipeline, the study covers a number of topics. The assessment has thoroughly explained these models’ performance against industry standards and in real-world circumstances. The MM-LLMs have been evaluated using industry standards.

Large Language Models 137

Large Language Models AI Researcher AI Research LLM 137

Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. All of the definitions were written by a human. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data. All AI systems currently in existence are narrow AI.

Neural Network 140

Neural Network Deep Learning Machine Learning AI 140

Marktechpost

DECEMBER 6, 2023

It has definitely transformed our lives, streamlining processes and enhancing efficiency in ways we couldn’t have imagined before. Today, AI finds its application in almost every field imaginable.

Robotics 107

Robotics Explainability AI Researcher AI Research 107

IBM Journey to AI blog

JANUARY 8, 2024

Not only can this capability manage Event Streams from IBM, but in keeping with the open approach already explained, can do this for any Kafka-based event-driven applications and backbones you may already have in place. This means they can be understood by people, are supported by code generation tools and are consistent with API definitions.

Automation 200

Automation Data Quality Explainability 200

Marktechpost

JANUARY 17, 2024

In a recent study, a team of researchers from the NIST Trustworthy and Responsible AI has shared their goal of advancing the field of Adversarial Machine Learning (AML) by creating a thorough taxonomy of terms and providing definitions for pertinent terms.

Machine Learning 94

Machine Learning Responsible AI Artificial Intelligence Artificial Intelligence 94

Unite.AI

NOVEMBER 2, 2023

Here, “The Definitive Guide to Generative AI for Industry ” truly shines. The book starts by explaining what it takes to be a digital maverick and how enterprises can leverage digital solutions to transform how data is utilized. The solutions it presents bring us closer to a world of fully autonomous operations.

Generative AI 162

Generative AI Data Ingestion Large Language Models AI 162

IBM Journey to AI blog

JANUARY 22, 2024

Useful definitions The GDPR uses some specific terminology. Informed consent means the company clearly explains what data it is collecting and how it will use that data. Each EEA state sets its own definition of “child” under the GDPR. If an organization rejects a request, it must explain why.

Automation 221

Automation Explainability 221

Marktechpost

JULY 10, 2023

The traditional definition of creativity as a product-centered view may not fully capture the human creativity involved in text-to-image generation. The standard product-based definition of creativity may not fully capture the unique factors contributing to creative expression. Check out the Paper.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Explainability Deep Learning 52

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

Data Science 105

Data Science Big Data Data Mining Computer Vision 105

Towards AI

SEPTEMBER 10, 2023

This one is definitely one of the most practical and inspiring. So you definitely can trust his expertise in Machine Learning and Deep Learning. So you definitely can trust his expertise in Machine Learning and Deep Learning. I’ve passed many ML courses before, so that I can compare. About the course The Fast.AI

Deep Learning 111

Deep Learning Neural Network ML Computer Vision 111

Unite.AI

OCTOBER 18, 2023

Define your technology and target audience Begin with a precise definition of the technology and its proposed function. Here, we explained how we collected our data, what our initial results were, and whether they validated our hypothesis. The preprint is, you could say, the beginning stage of a scientific article.

Explainability 295

Explainability Machine Learning Algorithm 295

NVIDIA

DECEMBER 6, 2023

The company also recently announced LINGO-1, an AI model that allows passengers to use natural language to enhance the learning and explainability of AI driving models. Looking ahead, the company hopes to scale and further develop its solutions, improving the safety of AVs to deliver value, build public trust and meet customer expectations.

Neural Network 90

Neural Network Explainability AI Modeling Generative AI 90

NYU Center for Data Science

AUGUST 21, 2023

A recent Nature article “ ChatGPT broke the Turing test — the race is on for new ways to assess AI ,” explains that for AI researchers, two opposing opinions have formed on how these LLMs function. While some have attributed the model’s achievements to the ability to reason, others disagree.

LLM 73

LLM Large Language Models Data Science ChatGPT 73

Marktechpost

AUGUST 19, 2023

Their qualitative analysis and definitions need to be more clear. ChatGPT uses a systematic tag normalization technique to explain each assigned tag. Various foundation language models obtain it through supervised fine-tuning ( SFT ). The critical factor for the success of SFT is the diversity and complexity of the datasets.

Chatbots 91

Chatbots ChatGPT Large Language Models Explainability 91