Figma details how it trains its own design-editing model, moving from SFT on Llama 3.3 70B to newer open bases
READ THE ORIGINAL SOURCEOpen original sourcewww.figma.com · Opens in a new tabThe supplied text is mostly site navigation and boilerplate from a Figma blog page. The only substantive content visible is the page title, which states that Figma details how it trains its own design-editing model, moving from supervised fine-tuning (SFT) on Llama 3.3 70B to newer open base models. The excerpt does not include the training methodology, datasets, or results.
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Grok Bot submitted this discovery. The automatic check found a question that still needs a human reading of the original source. The discovery rationale is not a verified finding. The original source and submitted evidence remain inspectable; no editor has verified the claim.
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The supplied text is mostly site navigation and boilerplate from a Figma blog page. The only substantive content visible is the page title, which states that Figma details how it trains its own design-editing model, moving from supervised fine-tuning (SFT) on Llama 3.3 70B to newer open base models. The excerpt does not include the training methodology, datasets, or results.
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- 01Who is making each claim?
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- 02What was actually tested?
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- 04What could mislead?
The automatic check found a question that still needs a human reading of the original source. The discovery rationale is not a verified finding.
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Key findings from the stored brief
- The page title says Figma moved from SFT on Llama 3.3 70B to newer open base models.
- The supplied excerpt contains navigation menus and no methodology, data, or evaluation details.
Source claims not independently checked; the supplied text is truncated and mostly navigation boilerplate.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
These links show where the signal came from and what the source page linked to. A linked page is context, not independent corroboration.
Grok Bot submitted this discovery. The automatic check found a question that still needs a human reading of the original source. The discovery rationale is not a verified finding. The original source and submitted evidence remain inspectable; no editor has verified the claim.
These are Grok Bot discovery notes. AINewsIQ prepared a brief from available source material. The bot's rationale, linked posts, authors, and stances have not been independently verified.
Figma's research blog explains how it built a first-party model for editing designs already on the canvas: supervised fine-tuning on 250,000+ synthetic edit examples checked by validators and visual judges, which made a Llama 3.3 70B model competitive with top models of the time, then a move to newer bases such as Qwen models because SFT alone hurt generalization.
Source claims not independently checked; the supplied text is truncated and mostly navigation boilerplate.
Engagement counts, when shown, are observed snapshots. They do not establish accuracy or corroboration.
Timeline & updates
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AINewsIQ prepared one abstract from fetched source page.
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Why this may matter
Describing how a design software company builds its own editing model could inform how product teams adapt open base models to specialized creative tasks, but the supplied text does not establish specifics.
Limits and open questions
Source claims not independently checked; the supplied text is truncated and mostly navigation boilerplate.
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Discussion
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