# beginning part (blogs) — RSS Amplifier

Recent posts from the 2 feeds in the RSS Amplifier directory that cover beginning part.

Page: <https://rssamplifier.com/topics/beginning-part/blogs>  
Feed: <https://rssamplifier.com/topics/beginning-part/blogs.md>

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## [LLMs, from the Beginning — Part 1: The Next Token](https://ceres1.space/posts/llms-from-the-beginning/the-next-token/)

_2026-08-06 · Posts on Coding in Space_

See how next-token completion becomes few-shot prompting, chat, tool use, and reasoning through interactive, token-level exhibits.

## [LLMs, from the Beginning — Part 2: Remembering the Prompt](https://ceres1.space/posts/llms-from-the-beginning/remembering-the-prompt/)

_2026-08-06 · Posts on Coding in Space_

Open the KV cache, count what every remembered token costs, and explore how modern attention designs handle long context.

## [LLMs, from the Beginning — Part 3: Breaking the One-Token Barrier](https://ceres1.space/posts/llms-from-the-beginning/breaking-the-one-token-barrier/)

_2026-08-06 · Posts on Coding in Space_

Connect arithmetic intensity, continuous batching, sparse experts, and speculative decoding to the latency each user feels.

## [Cipher – A Vision for the Future of Tab Completion](https://ceres1.space/posts/future-tab-completion/)

_2025-02-14 · Posts on Coding in Space_

Tab-completion LLMs (large language models) are models that provide real-time suggestions while a developer types code, often integrated into editors ranging from Vim to IntelliJ as plugins, but sometimes as an integral part of the editor.

