LLM from Scratch: Automatic Differentiation

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • Tricycle

    An implementation of a Language Model, completely from scratch (by bclarkson-code)

  • As a chronic premature optimizer my first reaction was, "Is this even possible in vanilla python???" Obviously it's possible, but can you train an LLM before the heat death of the universe? A perceptron, sure, of course. A deep learning model, plausible if it's not too deep. But a large language model? I.e. the kind of LLM necessary for "from vanilla python to functional coding assistant."

    But obviously the author already thought of that. The source repo has a great motto: "It don't go fast but it do be goin'" [1]

    I love the idea of the project and I'm curious to see what the endgame runtime will be.

    [1] https://github.com/bclarkson-code/Tricycle

  • Llama2.jl

    Julia package for inference and training of Llama-style language models

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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