ChatML Guide: Master Structured Prompts for LLMs
My Book: The ChatML (Chat Markup Language) Handbook A Developer’s Guide to Structured Prompting and LLM Conversations📗Buy Kindle Edition 📗Read Online (Open Acce...
Author: Ranjan Kumar
Fast Face Search (Billion-scale Face Recognition) using Vector DB (Faiss)
1. Introduction Before understanding what face search is, what the use cases are, and why performing face search fast is so crucial, let us understand the follo...
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...
Prompt Engineering Deep Dive: Parameters, Chains, Reasoning, and Guardrails
Learn what prompt engineering is, why it matters, and how to craft effective prompts for generative AI models. Boost accuracy, clarity, and output quality with ...
LLM Text Clustering and Topic Modeling: HDBSCAN & BERTopic Tutorial
Master semantic document clustering using embeddings, UMAP, HDBSCAN, and BERTopic Quick Start: 5-Minute Text Clustering Want to see text clustering in action im...
Text Classification using Large Language Models (LLMs)
1. Introduction A common task in natural language processing (NLP) is text classification. Use cases of text classification include sentiment analysis, intent d...
Inside the LLM Inference Engine: Architecture, Optimizations, Tools, Key Concepts and Best Practices
Introduction When you send a prompt to ChatGPT, Claude, or any other LLM-powered application, what actually happens behind the scenes? The journey from your inp...
Fact-checking in LLM
Summary of fact-checking in LLM #llm #hallucinations #misinformation