AAanchalinaanchalfatwani.hashnode.dev·Aug 31 · 11 min readLLM Evaluation: A Beginner's Guide to Measuring AI Quality Large Language Models can generate remarkably fluent answers. They can summarize documents, answer questions, write code, extract information, reason over data, and interact with external tools. But t00
AAanchalinaanchalfatwani.hashnode.dev·Jun 30 · 7 min readBeginner’s Guide to Embeddings: How AI Learns to Understand the WorldHave you ever wondered how Netflix recommends a movie you actually want to watch? Or how an AI chatbot understands the emotional weight behind a sentence like "I'm drowning here" without checking the 00
AAanchalinaanchalfatwani.hashnode.dev·May 31 · 13 min readWorking Effectively with AI Coding Assistants: Principles, Patterns, and Best PracticesAI coding assistants have moved far beyond autocomplete. They now generate functions, refactor systems, write tests, debug complex issues, and assist with architectural decisions. But despite rapid pr00
AAanchalinaanchalfatwani.hashnode.dev·Apr 30 · 6 min readDesigning Multi-Agent Systems: Patterns and ArchitecturesAI systems are evolving fast. We started with: simple prompts then Retrieval-Augmented Generation (RAG) then agents that can use tools Now, we’re entering the next stage: Multi-Agent Systems (MA00
AAanchalinaanchalfatwani.hashnode.dev·Mar 31 · 8 min readGuardrails for AI: Building Safe and Reliable LLM ApplicationsIntroduction: Why Guardrails Matter? Large Language Models (LLMs) have made it incredibly easy to build intelligent applications—chatbots, copilots, document assistants, and even autonomous agents. Ho00
