Provenance in AI: Why It Matters for AI Engineers
1. Introduction: Why AI Needs a Paper Trail Imagine debugging a complex AI pipeline without knowing which version of the dataset was used, how the features were...
Category: LLMs
LLMs for SMEs – 001: How Small Businesses Can Leverage AI Without Cloud Costs
1. Introduction Ravi runs a small auto parts shop in Navi Mumbai. His day starts at 8 AM, but even before he lifts the shutter, his phone is already buzzing. Cu...
LLM-Powered Chatbots: A Practical Guide to User Input Classification and Intent Handling
1. Introduction If you’ve ever built a chatbot that confidently answered the wrong question, you know the pain of poor intent detection. Imagine a user typing: ...
Reranking for RAG: Boosting Answer Quality in Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is one of the most effective techniques for making large language models (LLMs) answer accurately using external knowledge....
ChatML: The Structured Language Behind Conversational AI
If you’ve interacted with ChatGPT or built your own conversational AI, you might have wondered — how exactly does the AI know which parts of a message are from ...
Question Answer Chatbot using RAG, Llama and Qdrant
1. Introduction I have created this teaching chatbot that can answer questions from class IX, subject SST, on the topic “Democratic politics“. I hav...
On Emergent Abilities of Large Language Models
An ability is emergent if it is not present in smaller models but is present in larger models. [1] Scaling up language models has been shown to improve predicta...