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large language models (LLMs)

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A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) that provide the core capabilities of modern chatbots. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inhere

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What Agentic AI Means for Backend Automation

Agentic AI turns models into autonomous workers that can plan tasks, call tools, and execute multi-step workflows with minimal human input. In this explainer, [BlackFog](https://www.blackfog.com/cybersecurity-101/agentic-ai/) defines agentic systems and contrasts them with traditional, prompt-bound AI. It describes a plan–reason–act loop: understand the goal, plan steps, access tools and data, execute, then evaluate and iterate. For backend and data teams, this means moving from single-shot prompts to orchestrated workflows that span APIs, services, and databases. It also raises practical needs around permissions, observability, idempotency, and rollback design for safe autonomous actions.

calendar_today 2026-03-06
blackfog large-language-models-llms agentic-ai llm workflow-automation