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Tiny GPT trained from random numbers to Shakespeare on MacBook

By PulseAugur Editorial · [1 sources] ·

A four-part series details the process of training a small generative pre-trained transformer (GPT) model on a MacBook. The training began with random numbers and progressed to generating text in the style of Shakespeare. The creator documented every step of this process, noting that the model's performance on held-back tests plateaued and then declined after step 1,250, even as the training itself continued to improve. AI

IMPACT Provides a detailed, step-by-step look at the training process for small language models, offering insights into how they learn and the potential for performance degradation.

RANK_REASON The item describes the process of training a small GPT model, which falls under research in AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tiny GPT trained from random numbers to Shakespeare on MacBook

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The item describes the process of training a small GPT model, which falls under research in AI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · R4TSQ ·

    Part 1 of 4, How AI Actually Works: I trained a tiny GPT on my MacBook from random numbers to fake Shakespeare, and recorded every step. The held-back test scor

    Part 1 of 4, How AI Actually Works: I trained a tiny GPT on my MacBook from random numbers to fake Shakespeare, and recorded every step. The held-back test score stopped improving at step 1,250 and then got worse while training kept improving. One real run, every number on screen…

    LINKS youtube.com/watch

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