Analytics Vidhya

SEPTEMBER 27, 2022

Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” ” In that blog, I have explained: how to create a dataset directory, train, test and validation dataset splitting, and training from scratch. This blog is […].

Convolutional Neural Networks 364

Convolutional Neural Networks Neural Network Explainability Data Science 364

Analytics Vidhya

OCTOBER 13, 2020

Introduction In this blog, I will explain how using simple machine learning. This article was published as a part of the Data Science Blogathon. The post Modernize Support Logs Using Simple Python Commands appeared first on Analytics Vidhya.

Python 328

Python Machine Learning Explainability Data Science 328

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In this blog, I will be briefly explaining the concepts. The post MLOps – Operationalizing Machine Learning Models in Production appeared first on Analytics Vidhya.

Machine Learning 314

Machine Learning Explainability Data Science Python 314

Analytics Vidhya

JULY 7, 2023

Introduction I’m going to explain transformers encoders to you in very simple way.

NLP 306

NLP Explainability BERT Data Science 306

AI News

MARCH 6, 2024

A blog post from OpenAI, in response to a lawsuit filed by Musk against the company, revealed email communications from 2015 to 2018 when Musk was still involved with the company’s operations. Elon wanted us to merge with Tesla or he wanted full control,” wrote OpenAI in their blog post. It was never about open sourcing.

OpenAI 324

OpenAI Big Data Explainability AI Researcher 324

PyImageSearch

OCTOBER 14, 2024

This blog post is the 1st of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion (this blog post) 3D Reconstruction: Have NeRFs Removed the Need for Photogrammetry? The second blog post will introduce you to NeRFs , the neural network solution. What's next?

Explainability 113

Explainability Computer Vision Deep Learning Algorithm 113

IBM Journey to AI blog

AUGUST 9, 2024

Explainability and interpretability Most generative AI models lack explainability , as it’s often difficult or impossible to understand the decision-making processes behind their results. Conversely, predictive AI estimates are more explainable because they’re grounded on numbers and statistics.

Generative AI 301

Generative AI Explainability AI AI 301

Marktechpost

AUGUST 13, 2024

Existing educational resources, such as detailed blog posts and video tutorials, often delve into the mathematical underpinnings of these models, which can be overwhelming for beginners. Georgia Tech and IBM Research researchers have introduced a novel tool called Transformer Explainer.

Explainability 134

Explainability AI Modeling Natural Language Processing Machine Learning 134

Towards AI

SEPTEMBER 16, 2024

In this blog, we’ll explore different ways to detect outliers, understand when to keep or remove them, and cover techniques to treat them effectively. Outlier Detection Explained Before we get into the nitty-gritty of detecting outliers, let’s break down the types: These occur when you’re dealing with one variable.

Explainability 111

Explainability Data Science AI AI 111

AI News

OCTOBER 6, 2023

In a since-deleted blog post by Humanloop CEO Raza Habib, the AI expert wrote about his experience sitting down with Altman: “A common theme that came up throughout the discussion was that currently OpenAI is extremely GPU-limited and this is delaying a lot of their short-term plans.

OpenAI 335

OpenAI Big Data ChatGPT Explainability 335

AWS Machine Learning Blog

JULY 30, 2024

In this blog post, we discuss the journey of developing a solution that benefited millions of TurboTax customers in 2024. One challenge is to explain complex calculations in a simple-to-understand manner so taxpayers can confidently file their taxes —and seamlessly connect to a human expert whenever needed. Nhung explained.

Explainability 126

Explainability Generative AI LLM ML 126

IBM Journey to AI blog

SEPTEMBER 23, 2024

. “MVI’s AI-powered visual inspection and modeling capabilities allow for head- and tusk-related image recognition of individual elephants similar to the way we identify humans via fingerprints,” explained Kendra DeKeyrel, Vice President ESG and Asset Management Product Leader at IBM.

ESG 274

ESG Computer Vision Explainability AI 274

IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. appeared first on IBM Blog. Let’s embrace the age of AI value creation together.

Generative AI 307

Generative AI AI AI Explainability 307

Towards AI

SEPTEMBER 30, 2024

To minimize the residual errors, or the difference between predicted and actual values, one step… Read the full blog for free on Medium. Unlike other algorithms, which rely on a single model to make predictions, Gradient Boosting uses a series of weak models (often decision trees), each learning from the mistakes of the one before it.

Explainability 116

Explainability Machine Learning Algorithm AI 116

IBM Journey to AI blog

NOVEMBER 28, 2023

Supporting inclusive and equitable access to AI technology and comprehensive employee training and potential reskilling further supports the tenets of IBM’s Pillars of Trustworthy AI , enabling participation in the AI-driven economy to be underpinned by fairness, transparency, explainability, robustness and privacy.

Artificial Intelligence 245

Artificial Intelligence Artificial Intelligence AI AI 245

IBM Journey to AI blog

MAY 9, 2023

Consistent principles guiding the design, development, deployment and monitoring of models are critical in driving responsible, transparent and explainable AI. Building responsible AI requires upfront planning, and automated tools and processes designed to drive fair, accurate, transparent and explainable results.

Metadata 227

Metadata Explainability Automation Responsible AI 227

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 227

Responsible AI Metadata Explainability AI 227

IBM Journey to AI blog

SEPTEMBER 27, 2023

In this video, Martin Keen briefly explains large language models, how they relate to foundation models, how they work and how they can be used to address various business problems. There are two types of these generative AI models: proprietary large language models and open source large language models.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

IBM Journey to AI blog

JANUARY 8, 2024

In our last blog post, we outlined our phased modernization approach, starting with runtime/operational modernization and then performing architectural modernization, refactoring monolith into microservices. Most importantly, it improves developer productivity while providing cost-efficiency, resiliency and improved customer experience.

Automation 203

Automation Explainability Machine Learning Algorithm 203

IBM Journey to AI blog

JANUARY 25, 2024

How are you making your model explainable? As explained above, diversity of experiences and skillsets is critical to properly evaluate the impacts of AI. Reinvent how your business works with AI The post The importance of diversity in AI isn’t opinion, it’s math appeared first on IBM Blog. How are you assessing fairness?

Explainability 247

Explainability Algorithm AI AI 247

IBM Journey to AI blog

MAY 1, 2024

A recent IBM Institute of Business Value study, The CEO’s guide to generative AI: Supply chain , explains how the powerful combination of data and AI will transform businesses from reactive to proactive.

Generative AI 240

Generative AI Natural Language Processing AI AI 240

IBM Journey to AI blog

APRIL 15, 2024

The way they interact in a coordinated manner is explained below: To improve threat detection, IBM Storage Defender combines its software sensors with the inline data corruption detection (IDCD) that comes from the IBM FlashSystem Flash Core Modules.

Machine Learning 292

Machine Learning Explainability Automation AI 292

AI News

APRIL 24, 2024

“Because it’s reading from textbook-like material…you make the task of the language model to read and understand this material much easier,” Bubeck explained.

Big Data 321

Big Data Large Language Models Generative AI AI Modeling 321

Unite.AI

NOVEMBER 27, 2023

I'll even give you a behind-the-scenes look and step-by-step guide of how I generated this youTube Explainer video in minutes: I'll finish by giving you my top tips for writing effective video prompts, the pros and cons of the platform, and the best InVideo alternatives I've tried. ” You'll need an email to create an account.

AI 276

AI AI Explainability AI Tools 276

IBM Journey to AI blog

JANUARY 8, 2024

Explainability will play a key role. See how IBM is helping drive the digital transformation of governments The post Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution appeared first on IBM Blog.

Categorization 264

Categorization Automation Explainability AI 264

IBM Journey to AI blog

JUNE 26, 2023

Across the 30+ episodes published so far, three themes have emerged that appeared to come up: Research , which I covered in the previous blog Journey to Cloud , which I will cover here Life Stories , which I will leave for the next blog post Theme: Journey to Cloud Cloud computing has impacted the IT industry like few other technologies.

DevOps 180

DevOps Explainability Automation AI 180

IBM Journey to AI blog

SEPTEMBER 25, 2024

Explainability and transparency : In critical network operations, engineers must understand how AI-derived decisions are made. Chain-of-thought (CoT) loops : Network use cases often involve multistep reasoning across multiple data sources.

AI Strategy 301

AI Strategy Generative AI AI AI 301

Unite.AI

AUGUST 20, 2023

Copy AI doesn't just write short-form content like social media posts or product descriptions; it also writes long-form articles and blog posts 10x faster using its powerful content generator. By the end of this blog, you will clearly understand whether Copy.ai In this review, we will dive deep into what exactly Copy.ai Chat by Copy.ai

AI 246

AI AI Natural Language Processing Explainability 246

IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is watsonx.governance?

Generative AI 203

Generative AI Explainability Explainable AI Natural Language Processing 203

IBM Journey to AI blog

DECEMBER 8, 2023

AIOps Insights integrates with existing ChatOps platforms like Slack to provide insights directly where IT Operations teams work, and uses explainable AI to provide clear recommendations. Learn more about IBM AIOps Insights The post Get your IT team battle-ready for the next holiday rush appeared first on IBM Blog.

Explainable AI 304

Explainable AI Artificial Intelligence Artificial Intelligence Explainability 304

IBM Journey to AI blog

MAY 31, 2024

Governments can help manage and mitigate these risks by relying on IBM’s five fundamental properties for trustworthy AI: explainability, fairness, transparency, robustness and privacy. The post Responsible AI can revolutionize tax agencies to improve citizen services appeared first on IBM Blog.

Responsible AI 299

Responsible AI AI AI Generative AI 299

IBM Journey to AI blog

MARCH 29, 2024

Your AI workflows should support responsibility, transparency, and “explainability.” Reinvent how your business works with AI Read The CEO’s Guide to Generative AI Reimagine Supply Chain Ops with Generative AI The post Integrating AI into Asset Performance Management: It’s all about the data appeared first on IBM Blog.

Generative AI 262

Generative AI AI AI Artificial Intelligence 262

Towards AI

SEPTEMBER 4, 2024

In this blog, we’ll explore why transformations are necessary, how to check if your data is normalized, and finally, how to visualize the impact of these transformations with Python libraries like QQPlot and distplot. In many real-world scenarios, data isn’t perfectly distributed. Join thousands of data leaders on the AI newsletter.

Explainability 111

Explainability Machine Learning Data Science Python 111

IBM Journey to AI blog

JUNE 27, 2024

Data lineage becomes even more important as the need to provide “Explainability” in models is required by regulatory bodies. Learn more about how AI governance can help fight data risks The post Re-evaluating data management in the generative AI age appeared first on IBM Blog.

Generative AI 305

Generative AI Data Ingestion Large Language Models AI 305

IBM Journey to AI blog

MAY 18, 2023

” “IBM has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.” What the Forrester report has to say about IBM “IBM offers customers an exceptional portfolio of products and services for business automation transformations.”

Automation 260

Automation AI AI Explainability 260

IBM Journey to AI blog

MAY 20, 2024

A classical computer is how you’re reading this blog. But this alone does not explain the full power of quantum computing. appeared first on IBM Blog. Rather, quantum computers will serve as a highly specialized and complementary computing resource for running specific tasks.

Algorithm 297

Algorithm Artificial Intelligence Artificial Intelligence Explainability 297

IBM Journey to AI blog

FEBRUARY 28, 2024

Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? appeared first on IBM Blog. Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience.

DevOps 288

DevOps Explainability Automation 288