Unite.AI

AUGUST 25, 2023

Juliett e Powell is an author, a television creator with 9,000 live shows under her belt, and a technologist and sociologist. Below are some questions that are designed to show our readers what they can expect from this ground breaking book. Can focusing on Explainable AI (XAI) ever address this?

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Explainability Explainable AI AI AI 246

Marktechpost

MARCH 11, 2024

However, understanding their information-flow dynamics, learning mechanisms, and interoperability remains challenging, limiting their applicability in sensitive domains requiring explainability. These matrices are leveraged to develop class-agnostic and class-specific tools for explainable AI of Mamba models.

Machine Learning 131

Machine Learning Explainability Neural Network Computer Vision 131

AI News

APRIL 25, 2024

We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained. Pryon also emphasises explainable AI and verifiable attribution of knowledge sources. A key element is offering enterprises flexibility and control over their data environments.

Responsible AI 245

Responsible AI Big Data AI AI 245

Towards AI

APRIL 12, 2024

The following additions to the end of your prompt can dramatically change the output of the LLM and shows how you can leverage prompt engineering to finesse the type of responses you get. I regularly use this when I’m asking ChatGPT to explain concepts to me or write a short paragraph.

Prompt Engineer 105

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 105

Marktechpost

APRIL 7, 2024

Global feature effects methods, such as Partial Dependence Plots (PDP) and SHAP Dependence Plots, have been commonly used to explain black-box models by showing the average effect of each feature on the model output. In conclusion, Effector offers a promising solution to the challenges of explainability in machine learning models.

Machine Learning 124

Machine Learning Python Explainability Explainable AI 124

AI News

FEBRUARY 16, 2024

“While a traditional Transformer functions as one large neural network, MoE models are divided into smaller ‘expert’ neural networks,” explained Demis Hassabis, CEO of Google DeepMind. To demonstrate the power of the 1M token context window, Google showed how Gemini 1.5 This specialisation massively enhances the model’s efficiency.”

Neural Network 241

Neural Network Big Data Explainability LLM 241

Unite.AI

JUNE 26, 2023

Surveys show over 40% of physicians experience burnout on the job, which can lead to inattentiveness, slow reflexes and poor memory recall. For instance, maybe a doctor thoroughly explains an AI tool to their patient, but they ignore safety instructions or input incorrect data. AI gone wrong isn’t always due to a technical error.

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Black Box AI Explainable AI Explainability AI 297

Unite.AI

JULY 23, 2023

Peng explains, “Fine-tuning is the process of optimizing an existing machine-learning model that is already proficient in one task, enabling it to carry out a second, analogous task.” ” A Leap in Efficiency and Performance When put to the test, the system showed impressive results.

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Robotics Explainability Machine Learning AI 246

AI Weekly

APRIL 11, 2024

forbes.com GenAI to increase marketing productivity by more than 40% by 2029, says IDC New research from IDC shows that applying generative artificial intelligence (GenAI) to a range of enterprise marketing tasks will result in an estimated productivity increase of more than 40% by 2029. techxplore.com Are deepfakes illegal?

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 208

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. For instance, a medical LLM might show demographic biases if trained on unbalanced datasets.

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LLM Machine Learning Explainability Algorithm 264

IBM Journey to AI blog

JANUARY 3, 2024

There are many elements required to earn people’s trust, including making sure that your AI model is accurate, auditable, explainable, fair and protective of people’s data privacy. To earn the trust of the communities it serves, AI must have proven, repeatable, explained and trusted outputs that perform better than a human.

Responsible AI 202

Responsible AI Metadata Explainability AI 202

Eleuther.ai

MAY 22, 2023

Audit shows that safetensors is safe and ready to become the default Hugging Face, in close collaboration with EleutherAI and Stability AI, has ordered an external security audit of the safetensors library, the results of which allow all three organizations to move toward making the library the default format for saved models.

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Explainability AI AI 111

AWS Machine Learning Blog

AUGUST 21, 2023

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. Explainability of these predictions is required in order for clinicians to make the correct choices on a patient-by-patient basis.

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DataRobot Blog

DECEMBER 6, 2022

Data scientists are also some of the highest-paid job roles, so data scientists need to quickly show their value by getting to real results as quickly, safely, and accurately as possible. Explainable AI for Transparent Decisions. Learn how to check explainability along the experiment and model lifecycle. Read the blog.

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Data Scientist ML Explainability Artificial Intelligence 145

IBM Journey to AI blog

DECEMBER 4, 2023

The end-to-end solution provides insurance company leaders with features that enable responsible, transparent and explainable AI workflows when using both traditional and generative AI.

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Generative AI Explainability AI AI 143

AI News

SEPTEMBER 8, 2023

We see the same patterns of people being sceptical of AI in software development,” explains Carneiro. We’ve been through this process of educating and showing the value of automation in software development before. We’re at the right spot to help businesses solve this,” explains Carneiro. “We

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Software Development Big Data AI AI 264

Ehud Reiter

MAY 5, 2024

There is very old work on this; in particular Paul Meehl showed in 1954 that simple linear regression models did a better job at some diagnostic tasks (at least as assessed by ML criteria) than the average doctor. A few years ago he told me that it was very difficult to show long-term impact.

AI 109

AI AI ML Explainability 109

Marktechpost

APRIL 24, 2024

It is a comprehensive guide for beginners to learn real-world business intelligence and shows how to use the tool to deliver powerful insights. The book also explains the ways the data model and DAX measures can be optimized. It also shows how to aggregate data from various internal and external data sources.

Business Intelligence 97

Business Intelligence Artificial Intelligence Artificial Intelligence Explainability 97

Unite.AI

JULY 28, 2023

Xiaolong Wang, a professor of electrical and computer engineering at UC San Diego, who led the study, explained that these approaches have several limitations. The Power of Binary Signals “We show that we don’t need details about an object’s texture to do this task.

Robotics 246

Robotics Explainability 246

AssemblyAI

DECEMBER 15, 2023

Our qualitative analysis shows that the new model is preferred on average  61% over the previous model  by our human evaluators. Overall  17% relative improvement  on average across our test datasets for predicting upper-case letter classification. Overall punctuation accuracy up by  11% (F1 score).

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Python Explainability AI AI 147

Towards AI

JANUARY 30, 2024

However, that is not the true breakthrough, as these new models also show signs of being a reasonable path to creating the first superhuman LLMs, even if that means humans taking one step closer to losing complete control over our best AI models. But what does that mean? Join thousands of data leaders on the AI newsletter.

Explainability 111

Explainability ChatGPT AI Modeling AI 111

Unite.AI

DECEMBER 21, 2023

Through further fine-tuning with additional multimodal data, Gemini refines its effectiveness, showing promise in understanding and reasoning about diverse inputs. This comprehensive approach enhances its ability to grasp nuanced information and excel in explaining and reasoning, especially in complex subjects like mathematics and physics.

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Large Language Models ChatGPT Artificial Intelligence Artificial Intelligence 336

Unite.AI

MAY 8, 2024

utilize LLMs like GPT-3 to encode textual node attributes, showing significant performance gains over traditional word embeddings on node classification tasks. Furthermore, enhancing the explainability of LLM-based graph learning models is essential for building trust and enabling their adoption in high-stakes applications.

Neural Network 147

Neural Network Large Language Models LLM BERT 147

Towards AI

FEBRUARY 6, 2024

Let me explain: Folium is a fantastic Python library that allows you to create beautiful maps. Let‘s use a cool data set to step through this together and I’ll show you how it works! Why is this a big deal? This is a super-cool development — GPT-4 can now write working Python code for your cross-framework workflow.

Prompt Engineer 104

Prompt Engineer Prompt Engineering Python Explainability 104

Flipboard

DECEMBER 17, 2023

Some of the more recent survey numbers show that the number of companies using generative AI is now topping 50%. Inputting “find common threads in this data set” will not get close to the same result as “find common threads in this survey data and explain what the top three concerns were.

Generative AI 130

Generative AI Explainability AI AI 130

Towards AI

MARCH 5, 2024

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its… pub.towardsai.net OpenCV offers more than 2500 computer vision algorithms for object detection, image classification, movement tracking, and image preprocessing.

Computer Vision 96

Computer Vision Python Explainability Algorithm 96

SAS Software

JULY 10, 2023

A previous article shows an example of a Markov chain model and computes the probability that the system ends up in a terminal state (called an absorbing state). As explained previously, you can often compute exact probabilities for questions about Markov chains. Nevertheless, it can be useful to know how [.]

Explainability 64

Explainability 64

Marktechpost

OCTOBER 31, 2023

Another study shows that ChatGPT explanations improve human verification compared to retrieved passages, taking less time but discouraging internet searches for claims. Language models can convincingly explain incorrect statements, potentially leading to wrong judgments. It doesn’t outperform retrieval in accuracy.

Large Language Models 91

Large Language Models LLM Explainability AI 91

Towards AI

JULY 21, 2023

I could explain it with a lot of fancy words and technical jargon. But then, it will be easy to just show the end… Read the full blog for free on Medium. Today, let’s see how we can implement a simple yet helpful technique known as Perspective Projection to warp an image. What does warping an image mean?

Computer Vision 98

Computer Vision Python Deep Learning Explainability 98

Towards AI

MARCH 26, 2024

The full list will be available in chapter six of my upcoming book: AI as the Sixth Intelligence Discipline: A Tradecraft Guide for Analysts The other day, a friend of mine showed me a clip from Joe Rogan’s podcast. Among other things, the guest said, “the AI had thought to do this on its own.” [1] 1] No, it did not.

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Large Language Models AI AI Explainability 80

Unite.AI

OCTOBER 5, 2023

I want to show readers where AI came from, that it isn’t magic, and that anyone can understand what it is doing. My intention to show that AI didn’t just fall from the sky. This book is for general readers, people who are hearing much about AI in the news but have no background in it. It has a history, an origin, and an evolution.

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Neural Network Deep Learning Machine Learning AI 298

AI News

JUNE 15, 2023

There can be no excuse for ignoring risks to people’s rights and freedoms before rollout,” explains Almond. Businesses need to show us how they’ve addressed the risks that occur in their context – even if the underlying technology is the same.

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Flipboard

AUGUST 5, 2023

We play and assess clips of Amazon CEO Andy Jassy explaining the company’s AI strategy this week. This week on the GeekWire Podcast , we look at how Amazon is positioning itself in the emerging era of generative artificial intelligence.

AI Strategy 80

AI Strategy Artificial Intelligence Artificial Intelligence AI 80

Mlearning.ai

OCTOBER 2, 2023

A graph shows that with four features, you can achieve an accuracy of 95%. The graphic shows that, for example, if you have 4 features, you have an accuracy of around 95%. It shows that the model accuracy stays stable between 6 and 14 features. It shows that it adds or removes features based on their importance.

Machine Learning 98

Machine Learning Explainability Auto-complete Algorithm 98

IBM Journey to AI blog

MARCH 7, 2023

This required a model with a high level of precision that also is built upon key principles of trustworthy AI including transparency, explainability, fairness, privacy and robustness. Early results on historical data show that many severe sepsis cases can be identified multiple hours in advance.

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Explainable AI Data Scientist Explainability AI 130

AssemblyAI

JANUARY 12, 2024

  2024's AI Essentials: 10 Must-Know AI Terms from 2023 Explained in 5 Minutes! 🚀🌟 : Learn the key concepts that are driving AI forward in 2024. Equip yourself with the knowledge of these 10 critical terms and be part of the conversation shaping the future of technology.

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AI Chatbots Explainability Chatbots OpenAI 147

Marktechpost

NOVEMBER 3, 2023

While it shows promise in fact-checking, inconsistencies in accuracy highlight the need for further research to understand their capabilities and limitations better. However, ensuring explainability remains challenging, as clear explanations of fact-checking verdicts are crucial for journalistic use.

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Large Language Models LLM Automation Explainability 115