educative.blog
For developers, by developers
Trending
What are the differences between AI, ML and generative models?
Let’s break it down: AI vs generative AI vs machine learning ; what’s the difference? Where do they overlap, and why does it matter? This isn’t just a vocabulary lesson. If you’re building AI features, understanding the layers of this blog will help you scope smarter, scale faster, and avoid buying into the hype.
Zarish Khalid
Nov 6 · 2025
What is the difference between LLMs and traditional NLP models?
Traditional NLP models are task-specific, require labeled data, and use simpler, interpretable architectures like RNNs or SVMs. LLMs, powered by transformers and massive datasets, generalize across tasks via prompting, offering adaptability and superior performance. However, they demand more compute, have higher costs, and pose interpretability and sustainability challenges.
Mishayl Hanan
Nov 6 · 2025
What are the real-world use cases of AI agents in 2026?
Nowadays, they’re no longer just chatbots or experimental tools; they’re powering entire workflows, automating decisions, and becoming collaborators across industries. Developers, startups, and enterprises alike are building systems around agents that perceive, decide, and act. In this blog, we’ll explore the most impactful AI agents use cases shaping real-world systems in 2026.
Zarish Khalid
Nov 4 · 2025
How are LLMs trained?
Large Language Models (LLMs) like GPT-4, Claude, and Gemini have become the engines behind AI-powered tools, chatbots, and intelligent agents. In this blog, we’ll explain how LLMs are trained step by step and what developers should know about this complex, resource-intensive process.
Zarish Khalid
Nov 4 · 2025
Does the future of healthcare depend on Agentic RAG systems?
Agentic RAG represents a shift from one-size-fits-all retrieval to a layered ecosystem of intelligence, where different levels of agency are applied thoughtfully. The challenge ahead is not just building more powerful agents, but knowing when to use them. Those who master this balance will shape the next generation of AI assistants, applications, and enterprises.
Kamran Lodhi
Oct 30 · 2025
What is DSPy? An introduction to programming LLMs
Learn how DSPy replaces fragile prompts with declarative Python, optimizing LLM pipelines into modular, maintainable, self-improving AI systems, with examples.
Usama Ahmed
Oct 30 · 2025
Thinking one level ahead: Your path to becoming a Senior Dev
Here are three pillars to help you get your next software engineer promotion.
Fahim ul Haq
Oct 28 · 2025
Agentic protocols: A developer’s guide to MCP, A2A, and ACP
This blog explores the new agentic protocols, MCP, A2A, and ACP, the open standards creating a universal language for AI agents to finally connect to tools and collaborate.
Maham Sawar
Oct 28 · 2025
Claude Code vs. Codex vs. Gemini Code Assist: 2025 dev review
2025 head-to-head: Claude Code, OpenAI Codex, and Gemini Code Assist tested on real dev tasks. See features, performance, and best-fit recommendations.
Zuwayr Wajid
Oct 28 · 2025
