nowfound

AI · April 23, 2025

An all-in-one blog for learning Large Language Models (LLMs)

An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional encoding and extrapolation (e.g. RoPE, NTK-aware interpolation, YaRN) Architecture details of models like QWen, LLaMA Training methods including SFT and Reinforcement Learning If you're interested in the nuts and bolts of LLMs, feel free to check it out:…

An all-in-one blog for learning Large Language Models (LLMs) launched on April 23, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Comfy & Easy AI Learning!

In the maker’s words, at launch

An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional…

Does a similar job

all alternatives →
  • Llama 3.2 Interpretability with Sparse Autoencoders2024 · github.com · ▲579

    I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…

  • VI
    Visual intuitive explanations of LLM concepts (LLM University)2023 · ▲303

    Hi HN, We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel. You can find it here: https://llm.university/ Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a…

  • 2000 Large Language Models (LLM) Prompts2023 · miguelanticonam.gumroad.com · ▲106

    Unlock your knowledge with 2000 LLM prompts

  • HL
    How LLMs Work – Interactive visual guide based on Karpathy's lectureApr 2026 · ynarwal.github.io · ▲245

    All content is based on Andrej Karpathy's "Intro to Large Language Models" lecture (youtube.com/watch?v=7xTGNNLPyMI). I downloaded the transcript and used Claude Code to generate the entire interactive site from it — single HTML file. I find it useful to revisit this content time to time.

  • Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs2024 · countless.dev · ▲361

    Compare AI models easily! All providers in one place. Find the best LLM for your needs with our comprehensive pricing calculator and feature comparison tool. OpenAI, Anthropic, Google, and more.

  • LLM Explorer2023 · ▲152

    Find your best LLM for a local inference

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 18d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 18d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 20d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 21d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 30d ago · world.pixverse.video

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 4d ago · beam.win

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, April 2025

the whole month →
  • Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

    Dev tools · 2025 · runpyxl.com

  • The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

    Life & fun · 2025 · filiph.github.io

  • https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

    AI · 2025 · github.com

  • Whatting▲898

    The iPad diary, just for you

    Work · 2025 · whatting.com

  • Browser with AI companions that automate web tasks

    AI · 2025 · strawberrybrowser.com

  • Peek▲828

    AI personal finance coach that guides you through decisions

    Work · 2025 · peek.money