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User trained small LLM with custom dataset 1-2 years ago

By PulseAugur Editorial · [1 sources] ·

A user reflects on training a small LLM approximately one to two years ago using a custom dataset comprising their Mastodon posts, personal writings, code, and Q&A factoids, supplemented by open datasets like SQuAD. The user notes that the initial model was not highly intelligent but improved over time, with training primarily conducted on personal hardware and partially on a cloud platform due to cost considerations. AI

RANK_REASON The item describes a personal anecdote about training a small LLM, which does not constitute a significant industry event, research breakthrough, or product release.

Read on Mastodon — fosstodon.org →

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

User trained small LLM with custom dataset 1-2 years ago

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The item describes a personal anecdote about training a small LLM, which does not constitute a significant industry event, research breakthrough, or product release.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    thinking about that time about 1-2 years ago when I trained a small LLM with my own non-scraped dataset of my own data (Mastodon posts, some Q&A factoids, some

    thinking about that time about 1-2 years ago when I trained a small LLM with my own non-scraped dataset of my own data (Mastodon posts, some Q&A factoids, some of my own code, and things I wrote) + some existing open datasets like https:// rajpurkar.github.io/SQuAD-expl orer/ ..i…

    LINKS rajpurkar.github.io/SQuAD-explorer

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