RAG vs Fine-Tuning for LLMs (2026): Production Guide
Feb 28 · 7 min read · TL;DR RAG is still the default for fast-changing knowledge, citations, and compliance-heavy use cases. Fine-tuning is for behavior, not your constantly changing knowledge base. Long context did not kill RAG; recent benchmarks show there is no univer...
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RAG vs Fine-Tuning for LLMs (2026): What Actually Works in Production
Feb 27 · 7 min read · TL;DR RAG is still the default for fast-changing knowledge, citations, and compliance-heavy use cases. Fine-tuning is for behavior, not your constantly changing knowledge base. Long context did not kill RAG; recent benchmarks show there is no univer...
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Building AI Features into Apps: OpenAI, Ollama and Hugging Face
Feb 9 · 5 min read · AI Is Now Application Infrastructure AI is no longer an experiment or a bolt-on feature. In modern products, it behaves like core infrastructure similar to authentication, search or payments. The difference:AI systems are probabilistic, model-driven ...
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Guide to Fine-Tuning Large Language Models
Feb 2 · 6 min read · From Basics to Breakthroughs: Technologies, Research, Best Practices, and Applied Challenges 1. Introduction Large Language Models (LLMs) have transitioned from experimental research artifacts to foundational infrastructure for modern software syste...
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🧠 Day 4: Production-Aligned Support Query Classifier (Rule Logic + GenAI Fallback) using Azure OpenAI + Streamlit
Nov 5, 2025 · 3 min read · Today I built an Agentic AI Mini Project — a Support Query Classifier that automatically tags customer or IT support queries into categories like Billing, Login Issues, Technical Problems, etc. It combines deterministic Python rule logic (fast + free...
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Building Real-Time AI Agents: Where Engineering Really Begins
Jul 7, 2025 · 3 min read · There’s been no shortage of AI agent hype — autonomous workflows, chain-of-thought, tool calling, RAG pipelines. But here’s the quiet truth: Most AI agents fail the second you put them in a real-time environment. Not because the models are bad. But b...
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RAG vs Agentic Architectures: Practical Insights from Real-World Systems
May 13, 2025 · 3 min read · Overview In recent months, there's been a surge in frameworks promoting "agentic" architectures for solving information retrieval and decision-making tasks. These include MCP, A2A, AutoGen, LangGraph, and OpenAI’s agents-python-sdk. While these model...
Join discussionBeyond the Prototype: Scaling RAG Architectures for Real-World AI Applications
May 13, 2025 · 6 min read · Everyone's building RAG (Retrieval-Augmented Generation) demos. But turning a prototype into production is a different beast altogether. 💡 I learned this the hard way while scaling an enterprise-grade RAG system. Here's what it really takes: It's no...
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