Articles tagged AI
English articles tagged AI on Avi Levi's blog.

Managing the Context Window in Claude Code
The Claude Code context window is a precious resource. Before you've typed a single word, you've already burned thousands of tokens. This guide explains why that happens and how to deal with it.

Markdown Files and Context Engineering When Working with AI Agents
In this post we explain what MD files are, how they are used in AI workflows, and why defining them correctly matters when working with agents.

The New AI Skillset Everyone Working with AI Must Develop
You don't need to know how to code to work with AI — but you do need to develop three core skills: explaining clearly what you want, understanding how systems work, and thinking like a product manager.

What Is the Difference Between Automation Workflow and Agentic Workflow
A clear explanation of the difference between standard automation and Agentic Workflow, and when to use each approach in your organization.

Working Smarter with AI – Prompt Manager Tools
Prompt manager tools help you save, organize, reuse, and improve the prompts that deliver the best AI results. Learn why prompt management matters, which capabilities to look for, and when to build a prompt library.

How to Deal with AI FOMO and Not Get Left Behind
How to deal with AI FOMO without chasing every new tool, and how to build learning and usage habits that stand the test of time.

Chain of Thought (CoT) – The Method Behind Reasoning Models 🔗
What is Chain of Thought, how does it relate to Reasoning models, and when should you ask a model to explain its steps rather than give a short answer.

How Does AI Learn? Zero-shot & Few-shot Learning
What are Zero-shot and Few-shot Learning, how AI models perform tasks with minimal examples, and how to use them in prompts.

What Is the Difference Between Supervised and Unsupervised Learning in Machine Learning 🤖📊
A clear explanation of the difference between supervised and unsupervised learning, with real-world examples from organizations and AI.

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?

What Is LoRA? The Technique That Saves Time ⏳ and Money 💰 in Language Model Training
What LoRA is, how it reduces the cost and speeds up the fine-tuning of language models, and when to consider it instead of full model training.

What Is a RAG Chatbot and How Does It Improve Our User Experience? 🛒
What is a RAG Chatbot, how it connects a language model to a knowledge base, and why it improves answers, reliability, and user experience.

RICE FRAMEWORK – The Prompt That Will Get You Precise Results 💬
What is the RICE Framework and how to use it to write more precise prompts that return useful, consistent answers.

What Can We Learn About Human Learning from Machine Learning? 🗣️
How principles from machine learning can help us understand human learning, feedback, context, and knowledge transfer.

How Does Temperature Affect AI? 🌡️
How temperature affects the responses of language models, and how you can simulate different creativity levels through prompt phrasing.

2 Security Vulnerabilities in LLMs — And What Do the Avengers Have to Do With It? 🦾
Two common security vulnerabilities in large language models, why they are dangerous, and how to think about safer LLM use in your organization.
