🚀 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 ...
Category: AI & ML
🚀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...
🔎 A Deep Dive into Cross-Encoders and How They Work
1️⃣ Introduction In AI systems that retrieve or generate information, ranking quality and relevance are critical. Whether you are building a RAG-based assistant...
🔎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...
✨When Models Stand Between Us and the Web: The Future of the Internet in the Age of Generative AI✨
1. Introduction The Internet once felt like a boundless public square: anyone could publish, anyone could read. But the rise of large language models (LLMs) lik...
🚀 Cursor AI Code Editor: Boost Developer Productivity with MCP Servers
1. Introduction The way we write code is changing faster than ever. For decades, developers have relied on traditional IDEs like IntelliJ IDEA, Eclipse, and Vis...
Building Privacy-Preserving Machine Learning Applications in Python with Homomorphic Encryption
Data privacy is one of the biggest challenges in deploying AI systems. From healthcare to finance, sensitive datasets are often required to train or run machine...
Provenance in AI: Auto-Capturing Provenance with MLflow and W3C PROV-O in PyTorch Pipelines – Part 4
AI engineers spend a lot of time building, training, and iterating on models. But as pipelines grow more complex, it becomes difficult to answer simple but cruc...
Navigating AI Risks with NIST’s AI Risk Management Framework (AI RMF)
Practical Guide for AI Engineers with Supporting Tools Artificial Intelligence (AI) is no longer a research curiosity—it powers critical systems in healthcare, ...