4 posts tagged "technical literacy"
Prompting, RAG, and fine-tuning solve different problems. A decision framework based on data volume, update frequency, desired behavior, and cost, plus a staged rollout.
Why LLMs produce fluent but false output, where hallucinations hurt most in business use, and how grounding, RAG, verification steps, and scoped use cases keep the risk manageable.
An AI agent is an LLM that autonomously calls external tools to finish multi-step tasks. This guide distinguishes chat, workflows, and agents, and covers function calling, MCP, and deployment risks.
RAG lets an LLM search your documents and answer using what it finds. We explain how it differs from fine-tuning and why in-house chatbots built on it often disappoint.
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