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关于 Phota 模型训练方式的澄清

📅 2026-03-28 11:21 Justine Moore 人工智能 3 分鐘 2868 字 評分: 73
Phota AI 讨论 模型训练 AI 行业
📌 一句话摘要 Justine Moore 澄清道,Phota 团队从未声称从零开始预训练过基础图像模型,并强调了他们对身份模型的核心投入。 📝 详细摘要 作为对之前讨论的后续,这条推文回应了行业内围绕 Phota 的讨论。作者澄清,该团队从未声称构建过基础图像模型,而是将研究和工程重心放在了创建一个专门的身份模型上,这正是他们的核心差异化优势。 📊 文章信息 AI 评分:73 来源:Justine Moore(@venturetwins) 作者:Justine Moore 分类:人工智能 语言:英文 阅读时间:2 分钟 字数:279 标签: Phota, AI 讨论, 模型训练, AI

Title: Clarification on Phota's Model Training Approach | BestBl...

URL Source: https://www.bestblogs.dev/status/2037731693243810193

Published Time: 2026-03-28 03:21:09

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Clarification on Phota's Model Training Approach

Clarification on Phota's Model Training Approach

![Image 2: Justine Moore](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_4def33) ### Justine Moore

@venturetwins

Side note - it's never a dull day in the AI creative community 😂

The Phota team never claimed to have pretrained a base image model from scratch.

But they did train a killer identity model + made an incredible product.

I'd highly recommend checking it out if you haven't yet!

Mar 28, 2026, 3:21 AM View on X

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1,146 Views ![Image 3: Justine Moore](https://www.bestblogs.dev/en/tweets?sourceid=4def33) Justine Moore @venturetwins

One Sentence Summary

Justine Moore clarifies that the Phota team did not claim to pre-train a base image model from scratch, emphasizing their focus on the identity model.

Summary

As a follow-up to the previous discussion, this tweet addresses the industry discourse surrounding Phota. The author clarifies that the team never claimed to have built a base image model from scratch, but rather focused their research and engineering efforts on creating a specialized identity model, which serves as their core differentiator.

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73

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查看原文 → 發佈: 2026-03-28 11:21:09 收錄: 2026-03-28 14:00:45

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