Towards AI

JANUARY 27, 2023

Deep Learning Explained: Perceptron The key concept behind every neural network. Mathematical definition We define the inputs ?, You now know the mathematical definition of a perceptron. As explained above, the bias is a scalar value that is added to the net input z before passing through the activation function.

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Pickl AI

MARCH 18, 2024

Definition, Types & How to Create Ever felt overwhelmed by data but unsure how to translate it into actionable insights? Interpretation and Insights Explain the meaning behind the data and visuals. Analysis and Recommendations: Explain trends, identify areas for improvement, and suggest actionable steps. MIS Report in Excel?

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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?

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Towards AI

FEBRUARY 14, 2024

Ah, more definitions U+1F92F. The regression part of the name is historical, I’ll explain it at the end. But let’s stick with ours, for now. A line function like ours is represented by the following equation: f(x) = a * x + bory = a * x + b Where: a is the slope and b is the intercept. So the function is linear.

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Mlearning.ai

JANUARY 26, 2023

When it comes to implementing any ML model, the most difficult question asked is how do you explain it. Suppose, you are a data scientist working closely with stakeholders or customers, even explaining the model performance and feature selection of a Deep learning model is quite a task. How can we explain it in simple terms?

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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.

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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.

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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.

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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.

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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.

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Pickl AI

JUNE 7, 2024

This concept explored through definitions, examples, and techniques, is essential for writing clear, maintainable, and efficient code. Definition of Encapsulation Encapsulation refers to the bundling of data and methods that operate on that data within a single unit or class.

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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.

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AI News

MAY 17, 2024

They built it in an afternoon,” Segura explains. Don’t think that’s a misnomer; the term is definitely ‘builder’. “I You don’t just wave it goodbye and never think about it again,” he explains. “At It took them a while to get to that point in maturity,” explains Segura. Segura likens it to offshoring processes.

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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.

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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.

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Marktechpost

MAY 28, 2024

Causal models are crucial for explaining the causal relationships among variables. It is simple to calculate the conditional probability of formulas that have interventions using functional causal models, while using CBN shows that there is no explicit reduction or formal definition when finding the probabilities of a formula.

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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.

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Marktechpost

NOVEMBER 9, 2024

Moreover, in this definition, the model increments by telescoping out approximations to individual updates made during training to replicate the behavior of fully trained practical networks. The second case study explains the underperformance of neural networks relative to XGBoost on tabular data.

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Unite.AI

NOVEMBER 8, 2024

It’s not enough to simply identify unhappy customers — we help explain why and offer recommendations for immediate improvement, keeping customers satisfied in the moment. Can you explain how the AI algorithm processes these physiological signals and translates them into actionable insights for retailers?

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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?

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Unite.AI

JUNE 13, 2024

A significant challenge in AI applications today is explainability. How does the knowledge graph architecture of the AI Context Engine enhance the accuracy and explainability of LLMs compared to SQL databases alone? With the rise of generative AI, our customers wanted AI solutions that could interact with their data conversationally.

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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.

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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.”

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Bugra Akyildiz

MARCH 12, 2023

Having a canonical set of definitions in the ML community for all of these different notions of “models” would be immensely helpful. Their learnings: Define the term “model” “Model” can refer to a wide variety of things (e.g. the source code, the collection of weights, files in S3, the model binary, etc.),

Explainability 52

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Pickl AI

JULY 19, 2023

Understanding Data Hygiene Data Hygiene Explained Data hygiene, also known as data cleansing or data scrubbing, refers to the process of identifying and rectifying errors, inaccuracies, and inconsistencies in a dataset. The post Data Hygiene Explained: Best Practices and Key Features appeared first on Pickl AI.

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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.

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AI News

SEPTEMBER 17, 2024

In his book, Superintelligence, he talks about how AI can surpass our current definitions of intelligence and the possibilities that might ensue. He explains that the current age – the fourth industrial revolution – is building on the third: with far-reaching consequences.

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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.

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Flipboard

NOVEMBER 18, 2024

Aim to go back and forth explaining your reasoning and learning how you could approach your problem/idea differently. When I find myself stuck while getting started, I navigate right over to Claude and start explaining what I’m working on. We all tend to be a bit wordy in our first drafts (I'm definitely guilty of this!).

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Unite.AI

JULY 25, 2024

Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. Can you explain the concept of Predictive GenAI and how it integrates generative AI with predictive machine learning? This dual perspective is incredibly valuable in today's rapidly changing tech landscape. Sure thing.

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Marktechpost

JULY 7, 2024

Researchers from the University College London have proposed a method for modeling universal representation learning, whose aim is to explain common phenomena observed in learning systems. The final method is Local Elasticity, where a model shows this property if updating one feature vector minimally affects dissimilar feature vectors.

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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.

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AI News

JULY 31, 2023

One definition of AI, however applicable only on a voluntary basis. Each sector can adopt a definition of AI and determine the riskiness of the AI systems covered. One horizontally applicable AI definition and methodology for the determination of high-risk (risk-based). The UK makes no regulatory changes regarding AI.

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IBM Journey to AI blog

AUGUST 2, 2024

“The AI Act defines different rules and definitions for deployers, providers, importers. Depending on which role you have as a company, you will need to comply with different requirements,” Simons explains. The first step, Simons says, is to determine which rules will apply to your business.

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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.

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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.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Exploring student-centered values One of the first efforts that Smarter Balanced and IBM Consulting undertook as a group was to ascertain the human values that we want to see reflected in AI models.

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