System Prompts vs User Prompts: The Hidden Backbone of AI Behavior
Understand how system prompts and user prompts shape AI responses, with practical examples, coding demos, and insights into performance, safety, and real-world use.
Large language models, ChatGPT, Claude, GPT-4, prompt engineering, and LLM integration patterns
23 posts in this category
Understand how system prompts and user prompts shape AI responses, with practical examples, coding demos, and insights into performance, safety, and real-world use.
Explore how fine‑tuning is evolving alongside large language models (LLMs), from adapters and LoRA to retrieval‑augmented generation, with practical insights, code demos, and production strategies.
Explore how AI coding assistants are transforming software development — from intelligent code completion to autonomous pair programmers — with practical examples, pitfalls, and best practices for late 2025.
A deep, practical comparison of ChatGPT 5.1, Gemini 3, and Claude Opus 4.5 — exploring their architectures, real-world performance, coding capabilities, and when to use each model.
A deep dive into Claude Opus 4.5 — its architecture, performance, use cases, coding capabilities, and how it integrates with MCP for real-world automation.
Discover how guardrails make large language models (LLMs) safe, ethical, and compliant—from healthcare to finance—and learn how to design, monitor, and deploy AI responsibly.
Learn how to shorten and optimize your LLM prompts to reduce token usage, improve accuracy, and save money using tools like LLMLingua, GIST tokens, and PCToolkit.
A deep dive into diagnosing and fixing Retrieval-Augmented Generation (RAG) failures — from poor indexing to hallucination — with practical debugging, testing, and monitoring strategies.
Learn how to make large language model outputs consistent and reliable using structured prompts, temperature control, and Pydantic validation.
Learn how to build secure, private AI models using open-source large language models (LLMs), from fine-tuning and quantization to on-premise deployment and compliance.
Learn how to design, build, and scale intelligent applications using the OpenAI API — from architecture and security to testing, monitoring, and real-world use cases.
Discover how smaller language models can dramatically cut AI costs while maintaining strong performance. Learn practical strategies for deployment, fine-tuning, and optimization.
Anthropic’s new Claude Skills feature introduces modular, customizable AI capabilities for tailored tasks. Here’s a deep dive into how they work, what’s new, and what this means for developers and teams.
A deep, speculative exploration of the Model Context Protocol (MCP) server concept — how it could bridge AI models with real‑world systems in a secure, modular way.
A grounded, detailed look at AI coding agents — how they work, what makes them different from traditional copilots, and how agentic workflows are reshaping software development.
Model Context Protocol (MCP) servers are redefining how AI connects with real-world tools. Here’s a deep, practical dive into what MCP servers are, how they work, and how to deploy them—complete with examples from OpenShift and ToolHive.
Kimi-K2 from Moonshot is shaking up the AI world. With trillion-parameter scale and benchmark-shattering results, it’s redefining coding and app building—without the price tag.
GitHub Copilot is evolving fast. From a new free AI code editor to Spec-Driven Development and better prompting strategies, here's everything you need to know about making Copilot truly reliable.
TV web browsers are evolving fast, powered by AI agents that automate online tasks, personalize browsing, and bring new utility to smart TVs. Let's dive deep into how this technology is transforming the living room experience.
Discover Grok Code Fast One, the AI tool that's transforming how developers write code with unparalleled speed and efficiency.
Dive deep into the world of fine-tuning large language models with Tata Vasneyan of Lunar Tech. Learn the practical applications and methodologies that transform AI capabilities.
A practical, repeatable workflow to intercept, save, and analyze Claude Code traffic using mitmproxy, with addons and analysis scripts.
Explore the crucial role of chatbots in cybersecurity, the challenges of data privacy, and the importance of compliance in today's digital landscape.