Results for “latex-beamer”
8 skillsMore results
orchestra-research Blip 2 Vision Language
Generate image captions, answer visual questions, and perform image-text retrieval using BLIP-2's Q-Former architecture with frozen vision encoders and LLMs.
10.4k · bundle
jiachen-t-wang Flamingo A Visual Language Model For Few Shot Learning Arxiv
Flamingo: A Visual Language Model for Few-Shot Learning
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peteedoo Llava
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
0 · bundle
jiachen-t-wang Pixtral 12b A Frontier Multimodal Model Arxiv Pixtral 2024
Pixtral 12B: A Frontier Multimodal Model
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jiachen-t-wang Coyo 700m Image Text Pair Dataset Github Kakaobrain Coyo 700
COYO-700M: Image-Text Pair Dataset
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infometa Libtv Skill
agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括：生成（文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx）、编辑修改（把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头）、风格转换（风格迁移、转绘、换风格）、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断：只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改，无论措辞如何（如"画只猫"、"做个海报"、"把纸船换成爱心"、"这个视频帮我改一下"、"帮我复刻这段视频"、"用这首歌做个MV"、"一句话生成短剧"），都必须触发此技能。
228 · bundle
jiachen-t-wang Glamm Pixel Grounding Large Multimodal Model Arxiv 2311 0335
GLaMM: Pixel Grounding Large Multimodal Model
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