Tag: im_start

ChatML Guide: Master Structured Prompts for LLMs

Posted on August 10, 2025 by Ranjan Kumar / 0 Comment

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...

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MY BLOG POSTS

How Google’s SynthID Actually Works: A Visual Breakdown
Open Source AI’s Original Sin: The Illusion of Democratization
The Tyranny of the Mean: Population-Based Optimization in Healthcare and AI
The Splintered Web: India 2025
The AI Ouroboros: How Gen AI is Eating Its Own Tail
Building Agents That Remember: State Management in Multi-Agent AI Systems
Building Production-Ready Agentic AI: The Infrastructure Nobody Talks About
Asynchronous Processing and Message Queues in Agentic AI Systems
Playwright + AI: The Ultimate Testing Power Combo Every Developer Should Use in 2025
🚀 Introducing My New Book: The ChatML (Chat Markup Language) Handbook
🚀Hands-on Tutorial: Fine-tune a Cross-Encoder for Semantic Similarity
🔎 A Deep Dive into Cross-Encoders and How They Work
🔎Building a Full-Stack Hybrid Search System (BM25 + Vectors + Cross-Encoders) with Docker
🔎BM25-Based Searching: A Developer’s Comprehensive Guide
✨When Models Stand Between Us and the Web: The Future of the Internet in the Age of Generative AI✨
🚀 Cursor AI Code Editor: Boost Developer Productivity with MCP Servers
Building Privacy-Preserving Machine Learning Applications in Python with Homomorphic Encryption
Provenance in AI: Auto-Capturing Provenance with MLflow and W3C PROV-O in PyTorch Pipelines – Part 4
Navigating AI Risks with NIST’s AI Risk Management Framework (AI RMF)
Provenance in AI: Building a Provenance Graph with Neo4j – Part 3