SSSameer Selokarinblogbysameer.hashnode.dev·Jul 12 · 8 min readFrom Hallucinations to Guardrails: 16 Essential AI & LLM Concepts Every Developer Should KnowArtificial Intelligence is evolving faster than ever. If you're building AI applications using OpenAI, Claude, Gemini, LangChain, or RAG systems, you've probably come across terms like Hallucination, 00
SSSameer Selokarinblogbysameer.hashnode.dev·Jul 12 · 10 min readRetrieval-Augmented Generation (RAG): What It Is, How It Works, and Why It Sometimes Fails?Most people think connecting an AI model to your documents magically makes it accurate. The reality is more nuanced. Retrieval-Augmented Generation (RAG) significantly improves an LLM's ability to ans11K
SSSameer Selokarinblogbysameer.hashnode.dev·Jul 5 · 5 min readPrompt Engineering : Zero-Shot, Few-Shot & Chain of Thought PromptingArtificial Intelligence is becoming more powerful every day, but getting the best results from an LLM (Large Language Model) depends on how you write your prompts. This is where Prompt Engineering com00
SSSameer Selokarinblogbysameer.hashnode.dev·Jun 30 · 8 min readUnderstanding Large Language Models (LLMs)Artificial Intelligence has become part of our everyday lives. Whether you're asking ChatGPT to explain a concept, using an AI assistant to draft an email, or searching for code suggestions, you're in00
