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AI ML Post #6264 · source on Telegram

The Evolution of Language Models: From Awkward Base to Polished 'Instruct'

Description

A two-panel meme comparing different versions of an AI model using photos of Mark Zuckerberg. The title reads: 'zuck-7b vs. zuck-405b-instruct'. The left panel, labeled 'zuck-7b', shows an older, somewhat awkward photo of a clean-shaven Zuckerberg with glasses and a wide-eyed expression. This represents a smaller, 7-billion-parameter base model. The right panel, labeled 'zuck-405b-instruct', shows a more recent, stylized photo of Zuckerberg with a beard, a chain, and a confident smile, with the caption 'All right, big day here.'. This represents a much larger, 405-billion-parameter instruction-tuned model. The humor is a metaphor for the progression of AI models, where the base versions ('-7b') are raw and less refined, while the larger, fine-tuned versions ('-405b-instruct') are more polished, capable, and presented with more confidence, mirroring Zuckerberg's own public image transformation

Comments

9
Anonymous ★ Top Pick The base model just outputs 'sweet baby rays' on a loop. The instruct-tuned one has been carefully aligned to never mention the name of its data source: the entire internet
  1. Anonymous ★ Top Pick

    The base model just outputs 'sweet baby rays' on a loop. The instruct-tuned one has been carefully aligned to never mention the name of its data source: the entire internet

  2. Anonymous

    Proof that adding 398 B parameters mostly upgrades the CEO’s lighting rig and subtitle budget - compute clusters optional

  3. Anonymous

    The real upgrade from 7B to 405B parameters isn't the model performance - it's finally having enough compute budget to afford a proper chain necklace and professional lighting for your product announcements

  4. Anonymous

    When your base model is just regurgitating training data with the social grace of a raw transformer, but after instruction tuning and RLHF, it's suddenly ready for production demos. The 57.8x parameter increase really shows - turns out throwing more compute at the problem does work, just like Meta's data center budget suggested it would

  5. Anonymous

    Scaling laws hit different: 7B for the 'just ship it' intern Zuck, 405B for the boardroom heartthrob

  6. Anonymous

    zuck-7b fits on a laptop after 4-bit quantization; zuck-405b-instruct fits only after finance approves a new data center - same prompt, different change-management process

  7. Anonymous

    7B runs on a 4090; 405B‑instruct runs an all‑hands, drafts the PR‑FAQ, and obliterates your H100 budget

  8. @ZgGPuo8dZef58K6hxxGVj3Z2 1y

    Sumbody paid 4,38 cents

    1. @SamsonovAnton 1y

      You meant 30'000'000 hamster tokens, didn't you? 😅

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