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한국어(KO) さかもと()｜未定義→実装 (@mocchalera) LLM에 매우 넓은 개념어를 함께 주면, 그 단어가 가진 배경 의미를 모델이 해석해 출력에 유리하게 반영하는 경우가 있다는 실험적 관찰을 공유했다. 프롬프트 설계에서 개념어 선택이 결과에 영향을 줄 수 있다는 실무적 힌트다. https:

Adobe video tools gain AI plugin; LLM prompt concept interpretation noted

By PulseAugur Editorial · [2 sources] ·

A user shared an observation that providing LLMs with broad conceptual terms can lead them to interpret and leverage the background meaning of those terms advantageously in their output. This suggests that careful selection of conceptual words in prompt design can significantly influence the results. Another user highlighted a new plugin for Adobe Premiere Pro and After Effects that integrates an AI stack, enabling image and video generation, background removal, upscaling, reframing, and draw-to-edit functionalities directly within the editing tools without needing to export. AI

IMPACT New plugins enhance creative workflows within existing software, while LLM prompt engineering insights offer practical tips for better AI output.

RANK_REASON The cluster discusses a plugin for existing software and an observation about LLM prompting, neither of which represent a frontier release, significant industry move, or academic research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Angry Tom (@AngryTomtweets) introduced that through the Higgsfield plugin within Adobe Premiere Pro and After Effects, it is possible to generate images and videos, remove backgrounds, upscale, reframe, and even perform draw-to-edit. The AI stack inside the editing tool

    Angry Tom (@AngryTomtweets) Adobe Premiere Pro와 After Effects 안에서 Higgsfield 플러그인을 통해 이미지·비디오 생성, 배경 제거, 업스케일, 리프레임, 드로우-투-에딧까지 수행할 수 있다고 소개했다. 편집 툴 내부에 AI 스택을 통합해 내보내기 없이 작업 흐름을 이어가는 점이 핵심이다. https:// x.com/AngryTomtweets/status/20 60170620600827986 # adobe # premierepro # after…

  2. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Sakamoto() | Undefined -> Implementation (@mocchalera) shared an experimental observation that when LLMs are given very broad conceptual terms, the model sometimes interprets the background meaning of that word and reflects it favorably in the output. This is a practical hint that the choice of conceptual terms in prompt design can affect the results. https:

    さかもと()｜未定義→実装 (@mocchalera) LLM에 매우 넓은 개념어를 함께 주면, 그 단어가 가진 배경 의미를 모델이 해석해 출력에 유리하게 반영하는 경우가 있다는 실험적 관찰을 공유했다. 프롬프트 설계에서 개념어 선택이 결과에 영향을 줄 수 있다는 실무적 힌트다. https:// x.com/mocchalera/status/206018 6340424348070 # llm # promptengineering # prompting # ai

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