In-depth AI & ML articles by Senior Java Developer Pavan Rangani — practical, production-grade tutorials and engineering deep-dives. 47 articles in this category.
vLLM serves open-weight LLMs at high throughput using PagedAttention and continuous batching. Learn GPU memory tuning, tensor parallelism, prefix caching, the latency-throughput trade-off, and when se… Read more
A technical guide to building, securing, and deploying Model Context Protocol servers that connect large language models to your enterprise tools and data.… Read more
A production setup guide for LLM observability covering tracing, evaluations, cost attribution, and the trade-offs between Langfuse and Helicone.… Read more
Production patterns for Claude 4.7 with 1M token context: prompt caching, cost math, document analysis pipelines, and when to choose long context over RAG.… Read more
Production guide to fine-tuning LLMs with LoRA and QLoRA. Covers dataset curation, training configuration, evaluation metrics, and efficient deployment strategies.… Read more
Deep dive into advanced RAG chunking strategies that improve retrieval accuracy. Covers semantic chunking, agentic RAG, graph-based retrieval, and hybrid approaches.… Read more
Complete guide to Claude API tool use — function calling, structured outputs, multi-turn conversations, error handling, and production patterns.… Read more
In-depth comparison of embedding models from OpenAI, Cohere, and BGE with benchmarks on retrieval quality, latency, cost, and deployment strategies for production search.… Read more
Master prompt caching and optimization techniques for LLM applications to slash API costs, reduce latency, and improve throughput in production deployments.… Read more
Guide to implementing AI-powered code review in your development workflow with tool comparisons, CI integration patterns, and strategies for measuring review quality.… Read more
Complete guide to deploying multimodal AI vision-language models in production including image analysis, document processing, and video understanding at scale.… Read more
Complete guide to building agentic AI workflows with CrewAI including multi-agent orchestration, role-based task delegation, and production deployment patterns.… Read more
Complete guide to evaluating RAG pipeline quality using RAGAS and TruLens frameworks, covering faithfulness, relevance, and automated quality metrics.… Read more
Practical guide to fine-tuning small language models for enterprise applications with LoRA, QLoRA, data preparation, evaluation, and production deployment strategies.… Read more
Complete guide to Model Context Protocol — build MCP servers, manage resources, expose tools to AI models, and deploy production-ready integrations.… Read more
Comprehensive guide to building production AI agents with LangChain and LangGraph covering agent architectures, tool integration, memory systems, and deployment strategies.… Read more
Design and implement production-grade memory systems for AI agents including short-term context, long-term knowledge, and episodic recall patterns.… Read more
Comprehensive comparison of AI development tools in 2026: Claude Code, Cursor, Windsurf, and GitHub Copilot with features, pricing, and recommendations.… Read more
Complete guide to building AI agents with tool use including function calling patterns, ReAct execution loops, and production safety guardrails.… Read more
Deploy optimized AI models at the edge for real-time inference with model quantization, pruning, and hardware-specific optimization techniques.… Read more
Master advanced prompt engineering techniques for building reliable LLM applications with chain-of-thought reasoning and structured outputs.… Read more
Design and build AI agents that autonomously plan, reason, and execute complex tasks using LLM-powered tool use and multi-agent coordination.… Read more
Explore Mixture of Experts architecture for building efficient LLMs that activate only relevant expert networks per token for reduced compute costs.… Read more
Build on-device AI applications with Apple MLX framework using unified memory architecture, model quantization, and optimized inference on Apple Silicon.… Read more
Detailed analysis of the Claude AI service outage on March 2-3, 2026 covering authentication failures, API disruptions, and lessons for AI infrastructure reliability.… Read more
Understand and mitigate AI code quality issues including logic errors, security vulnerabilities, and maintainability problems in AI-generated code.… Read more
Deploy computer vision models to edge devices with ONNX Runtime, TensorRT optimization, model pruning, and hardware-accelerated inference pipelines.… Read more
Deploy AI models efficiently with INT8/INT4 quantization techniques including GPTQ, AWQ, and GGUF formats for production inference optimization.… Read more
Master prompt engineering from fundamentals to production patterns. Learn chain-of-thought, few-shot, and systematic prompting for reliable AI outputs.… Read more
Deploy small language models on edge devices. Learn quantization, distillation, and optimization techniques for running AI without cloud dependencies.… Read more
Explore how AI agents are transforming industries globally in 2026, from autonomous coding to healthcare diagnostics and financial analysis.… Read more
In-depth comparison of Claude, GitHub Copilot, Gemini, ChatGPT, and Perplexity for software development — features, pricing, and real-world benchmarks.… Read more
Practical guide to using AI tools like Claude, Copilot, and ChatGPT to accelerate every phase of software development from planning to deployment.… Read more
AI agents are moving from demos to production. Learn how to build reliable autonomous systems with tool use, memory, multi-agent orchestration, and the guardrails needed to deploy them safely.… Read more