LLM
Decision Models: Fine-Tuning LLMs for Structured Decisions
How decision models score predefined options instead of generating text, and how Unsloth trains, evaluates and calibrates them with a dedicated decision head.
Posts tagged ai-agents
AI-AGENTS
AI Agents Need More Than Guardrails: Engineering Secure Agentic Systems
A practical guide to securing AI agents through independent policy enforcement, least privilege, runtime isolation, network controls, credential protection, and adversarial testing.
SECURITY
Using AI Agents to Keep Pace with Vulnerability Response
Recent PHP and Node.js vulnerabilities and a LiteLLM supply-chain compromise show why security teams need evidence-driven reviews, expert judgment, and repeatable AI-assisted workflows.
ZERO-TRUST
Zero Trust for Agentic AI
A practical security playbook for AI engineers building autonomous agents, agentic workflows, and multi-agent systems, applying Zero Trust principles to every layer of the agent lifecycle.
RESEARCH
What Is AutoResearch?
AutoResearch is a small but powerful experiment loop where a coding agent edits training code, runs timed experiments, and keeps only the changes that improve a fixed metric.
AI-AGENTS
Agent Memory with LangMem and LangChain Best Practices
How to design durable agent memory with LangMem’s hot-path and background tools, and the storage patterns LangChain recommends for long-term recall.
AI-AGENTS
Powerful Tools for AI Agents
Why tools are foundational in modern AI agents, and why a Think Tool is often the highest-leverage upgrade for orchestrator-quality decisions.
AI-AGENTS
Tool-Search Tool for AI Agents
How dynamic tool discovery reduces context bloat, improves tool selection accuracy, and scales better than loading every tool definition up front.
AI-AGENTS
Programmatic Tool Calling for AI Agents
A practical architecture pattern for code-driven orchestration that cuts context waste, improves control flow, and strengthens safety boundaries.