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User explores fine-tuning LLMs without formal ML education

By PulseAugur Editorial · [1 sources] ·

A user explored the possibility of fine-tuning a small LLM without formal machine learning education, referencing past difficulties in teaching DistilBERT math due to Python's dependency issues. The user is now attempting to fine-tune small LLMs using Copilot, viewing prompting as an initial step towards understanding LLM behavior and fine-tuning as the ultimate goal for creating specialized AI agents. AI

IMPACT Explores the accessibility of LLM fine-tuning for individuals without formal machine learning backgrounds.

RANK_REASON User commentary on the process of fine-tuning LLMs.

Read on Mastodon — fosstodon.org →

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

User explores fine-tuning LLMs without formal ML education

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User commentary on the process of fine-tuning LLMs.
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98 days old
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COVERAGE [1]

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

    Is it possible to finetune a small LLM without taking a single class in Machine Leaning? # Gemini 2.0 and I tried to teach distilBERT math last year and failed

    Is it possible to finetune a small LLM without taking a single class in Machine Leaning? # Gemini 2.0 and I tried to teach distilBERT math last year and failed because of the chaotic # python ecosystem with an intertwined dependency hell. Today is my second day seriously learning…

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