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Sicherheitslücken (CVE)IT Security News Hourly Summary 2026-09-30 23h : 9 posts(30.09.2026 um 23:00 Uhr)
•••
AI & KI NachrichtenMalicious Custom GPTs Turn ChatGPT Into RAT Delivery Lure(30.09.2026 um 23:25 Uhr)
•
IT Security NachrichtenMehrere Probleme in gawk (Red Hat)(30.09.2026 um 07:04 Uhr)
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Sichere ProgrammierungMehrere Probleme in python-pymongo (SUSE)(30.09.2026 um 23:14 Uhr)
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AI builder essentials: tokens, context windows and RAG 101

Tokens are an important foundational concept that underlie how we interact with LLMs. @greggyb and myself recorded a quick video to demystify what a token…

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Tokens are an important foundational concept that underlie how we interact with LLMs. @greggyb and myself recorded a quick video to demystify what a token actually is and unpack several other related concepts.










What's in the video




  • What is a token? Tokens are the basic unit of input and output that LLMs operate on.

  • What is retrieval-augmented generation (AKA RAG)? Providing a model with extra data that isn't already in the model's training dataset, and is relevant to a specific query.

  • What are context windows? Context windows are how many tokens a model can use for input and output. Context window size varies from model to model, but it has increased a lot in recent years.

  • What is tokenmaxxing? Does using more tokens really mean you're being more productive? (Spoiler alert: no.)







To paint a bigger picture: more context you give a large language model, the better your responses are likely to be. The design patterns for providing that context have evolved at a rapid pace, and are likely to continue doing so.







What AI terms should we demystify next? Let us know!

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