@techNmak: https://x.com/techNmak/status/2058886981090951627
Summary
A tweet thread listing 25 commonly used but often misunderstood AI concepts, such as tokens, embeddings, RAG, agents, and LoRA.
View Cached Full Text
Cached at: 05/26/26, 05:02 AM
25 AI Concepts People Use But Don’t Really Understand
AI became mainstream before most people understood its vocabulary. That is why so many conversations around AI sound confident but fuzzy. People say “tokens,” “embeddings,” “RAG,” “agents,” “LoRA,”
Similar Articles
@Blum_OG: "everyone uses AI. almost nobody understands how it works." that gap is real - and it's the whole point here's what the…
An explanatory tweet thread breaking down how AI works, covering tokens, attention, parameters, context windows, hallucination, RAG, and RLHF to help users become sharper users of AI.
@sairahul1: https://x.com/sairahul1/status/2067540315620405543
A thread explaining six essential AI concepts (tokens, embeddings, vector search, etc.) for building production-ready AI systems, emphasizing that understanding them prevents costly failures like runaway API costs.
@humzaakhalid: https://x.com/humzaakhalid/status/2073699827016229001
A Twitter thread explaining seven essential AI terms (LLM, tokens, etc.) for creators and founders, aiming to provide practical vocabulary for 2026.
@BharukaShraddha: 90% of AI engineers are using these 4 concepts interchangeably. They're not. And that's exactly why so many AI agents b…
A Twitter thread clarifies the distinct roles of Skills, Subagents, MCP, and Hooks in AI agent design, arguing that confusing them leads to inefficient and costly systems.
@ai_explorer25: Confused by all the AI hype? These people make it easy to understand and they teach you how to actually build your own …
A curated list of X/Twitter accounts that explain AI concepts and teach how to build tools, agents, and frameworks, covering retrieval, testing, fine-tuning, and more.