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# From Silicon to Chatbot: The Secret Layer Cake Powering Every AI Tool You Use

**[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments

## Summary

A layered breakdown of how generative AI systems work, from raw compute infrastructure (GPUs, TPUs, edge devices) up through models, platforms like Vertex AI, agents with reasoning loops, and finally end-user applications like Gemini and NotebookLM. Covers key concepts including transformer architecture, fine-tuning, chain-of-thought and ReAct prompting, RAG, and the difference between discriminative and generative models. Uses a restaurant kitchen analogy throughout to make the stack accessible to non-specialists.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@reenamaritapinto/from-silicon-to-chatbot-the-secret-layer-cake-powering-every-ai-tool-you-use-400ebc68b23a>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#genai](https://daily.dev/tags/genai), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/from-silicon-to-chatbot-the-secret-layer-cake-powering-every-ai-tool-you-use-ftonkwva2)

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