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RAG explained without the buzzwords, and when you do not need it

  • LLMs
  • RAG

RAG, retrieval-augmented generation, is one of those terms that sounds like it needs a PhD and actually describes something you could explain to a ten-year-old. Here is the plain version, why it matters, and the case, more common than the vendors admit, where you do not need it at all.

Read more: RAG explained without the buzzwords, and when you do not need it

How to write a prompt that does not waste everyone time

  • LLMs
  • Prompting

Most prompt engineering advice is either obvious or superstition. You do not need a 2,000-word mega-prompt or a secret phrase that unlocks the model true power. You need to say what you want the way you would say it to a sharp, literal-minded colleague who has no context and will take you at your word.

Read more: How to write a prompt that does not waste everyone time

AI agents, minus the hype: what they are and when to use one

  • AI agents
  • Coding

"Agent" is the most abused word in AI right now. Vendors slap it on anything that calls an API twice. So let us be plain: an AI agent is a model that can take actions in a loop, decide what to do next based on the result, and keep going until a goal is met or it gives up. That is it. The interesting question is not what they are. It is when you should let one loose.

Read more: AI agents, minus the hype: what they are and when to use one

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