How Google’s SynthID Actually Works: A Visual Breakdown
1. Introduction I spent the last few days trying to understand how Google’s text watermarking works, and honestly, most explanations I found were either t...
Category: Natural Language Processing – NLP
🚀 Introducing My New Book: The ChatML (Chat Markup Language) Handbook
A Developer’s Guide to Structured Prompting and LLM Conversations 📘 Available on Kindle → https://www.amazon.in/dp/B0G2GM44FD📗Read Online (Open Access) 🧠 Why I ...
🚀Hands-on Tutorial: Fine-tune a Cross-Encoder for Semantic Similarity
🔥 Why Fine-Tune a Cross-Encoder? 1. More Accurate Semantic Judgments: 2. Adapting to Domain-Specific Data Without fine-tuning, the model might miss these domain...
🔎Building a Full-Stack Hybrid Search System (BM25 + Vectors + Cross-Encoders) with Docker
1️⃣ Introduction Search is at the heart of every AI application. Whether you’re building a legal research assistant, a compliance monitoring tool, or an LLM-pow...
🔎BM25-Based Searching: A Developer’s Comprehensive Guide
📌 Introduction: Why BM25 Matters Imagine you type “best Python tutorials” into a search engine. Millions of web pages match your query—but how does the engine k...
AI & ML/Computer Vision/Deep Learning/Deep Reinforcement Learning/Explainable AI/GenAI/LLMs/Medical Imaging/Natural Language Processing - NLP/Software Development
Provenance in AI: Tracking AI Lineage with Signed Provenance Logs in Python – Part 2
In modern AI pipelines, provenance — the lineage of datasets, models, and inferences — is becoming as important as accuracy metrics. Regulators, auditors, and e...
AI & ML/Computer Vision/Deep Learning/Deep Reinforcement Learning/Explainable AI/GenAI/LLMs/Medical Imaging/Natural Language Processing - NLP/Software Development
Provenance in AI: Why It Matters for AI Engineers – Part 1
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...
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
1. Introduction Prompt engineering is the practice of designing and refining the text (prompt) that we pass to a Generative AI (GenAI) model. The prompt acts as...