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Articles tagged Machine Learning

English articles tagged Machine Learning on Avi Levi's blog.

A robotic version of Sigmund Freud sitting in a classic leather therapist's chair, holding a notebook, facing a modern person lying on a therapy couch

How Are We Using AI in 2025? Productivity-Out, Well-Being-IN

A new HBR study reveals: in 2025 we're using AI less for productivity and more for well-being, meaning, and personal growth. Surprising trends and inspiring use cases in the full post.

generative AI HBR emotional automation artificial intelligence
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Chain of Thought (CoT) – The Method Behind Reasoning Models 🔗

Over the past few years, large language models (LLMs) have become a central tool in artificial intelligence, particularly in natural language processing (NLP) tasks. Despite their impressive capabilities, these models sometimes struggle with tasks that require multi-step…

AI chain of thoughts CoT Machine Learning
A realistic picture of a parrot that looks like a combination of a dove with a peacock-colored tail.

How Does AI Learn? Zero-shot & Few-shot Learning

What are Zero-Shot and Few-Shot Learning? ⛹ Imagine a world where AI models can perform complex tasks without needing to be fed thousands of examples. A world where an AI system can identify a rare disease it has never seen before, or translate into a language it never…

AI deep learning few shot learning Machine Learning
Reinforcement learning of a futuristic humanoid dog

What Is Reinforcement Learning — The Way to Train an AI 🤖🐶

What is Reinforcement Learning? Imagine you're trying to train a dog to shake hands 🐶✋. Every time it does it correctly, you give it a treat. If it gets it wrong, it gets nothing. After a few attempts, the dog figures out that offering its paw is worth doing — because it…

AI algorithms AI automation Artificial Intelligence deep learning
A diagram comparing supervised learning with labeled data versus unsupervised learning that identifies patterns

What Is the Difference Between Supervised and Unsupervised Learning in Machine Learning 🤖📊

Supervised Learning and Unsupervised Learning are two core approaches in the field of machine learning. Each is suited to different types of problems and data, and each enables different insights to be drawn from existing information. Supervised Learning Supervised learning…

AI Clustering Data Patterns Data Science
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Gartner's Technology Adoption Hype Cycle 📉

So where does artificial intelligence sit on the curve? And how can we use it to lead technology adoption processes that generate real business value in the organization? If you'd like to read more about it, here's a link to the model on Gartner's website.

AI adoption AI business impact AI challenges AI integration
Woman with over-the-ear headphones in a studio, holding the headphones while listening to music, with glowing musical notes around her

What Is Embedding? How Spotify Knows Exactly Which Song You'll Love Next 🎤

What is Embedding, how does it work behind the scenes, and how does this technique power the recommendation engines of streaming platforms like Netflix and Spotify, and search engines like Google?

AI AI for Beginners Artificial Intelligence Embedding
An illustration of language model fine-tuning with LoRA, featuring illuminated data layers and reduced training resource consumption

What Is LoRA? The Technique That Saves Time ⏳ and Money 💰 in Language Model Training

Training models for specific tasks is an expensive and complex process – but there's an easier way! 🚀 In this video we'll reveal everything you need to know about LoRA (Low-Rank Adaptation). Why it's so cost-efficient, and what you can do with it – from personalizing models…

AI Astria Fal.ai LoRA
Two animated podcast hosts explaining how machine learning principles relate to human learning

What Can We Learn About Human Learning from Machine Learning? 🗣️

A while back I attended a lecture and summarized it into bullet points. After the lecture, I took those notes, dropped them into NotebookLM, and created a virtual "podcast" from them — or what Google calls a Deep Dive. In the next step I split the podcast into two separate…

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