Reader – One‑Click URL to LLM‑Friendly Input, and llm.c – C/CUDA LLM Training Tool
This article introduces Reader, an open‑source Jina AI tool that converts any web URL into a format optimized for large language models, and llm.c, a minimalist C and CUDA project that demonstrates how to train a GPT‑2‑style LLM from scratch.
Reader is an open‑source tool from Jina AI that converts any web URL into a format friendly for large language models (LLMs). By prefixing a URL with https://r.jina.ai/ , the service fetches the page, generates missing alt‑text for images, and outputs the content in a structured LLM‑ready format.
It also offers a web‑search mode using the https://s.jina.ai/ prefix, which returns the top five most relevant results, each formatted for easy LLM consumption.
Example: Adding https://r.jina.ai/ before the GPT‑4 Wikipedia page URL yields a clean, LLM‑optimised text output.
llm.c is a minimalist open‑source project written in pure C and CUDA that implements a GPT‑2‑style large language model training pipeline in roughly 1,000 lines of code. The project aims to provide a clear, low‑level reference for understanding the fundamentals of LLM training without relying on heavyweight frameworks.
By exposing the core training loop and model components in C, llm.c enables developers and researchers to study the inner workings of LLMs, experiment with custom modifications, and learn about GPU‑accelerated training at a granular level.
Open‑source addresses: https://github.com/jina-ai/reader and https://github.com/karpathy/llm.c .
IT Services Circle
Delivering cutting-edge internet insights and practical learning resources. We're a passionate and principled IT media platform.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.