#mllm — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mllm, aggregated by home.social.
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RE: https://dobbs.town/@hobbs/116032781720531564
dear #lazyweb
hit me with your favorite RSS feeds for #homelab #selfhosting #linux #opensource #computing #programming #computerscience #cpu #microarchitecture #electronics #robotics #ai #llm #vlm #mllm #cognitivescience #consciousness #complexity #psychology #jung #philosophy #astronomy #cosmology #physics #chemistry #biology #books #literature #anthropology #jrpg #retrogaming #survival #outdoors #hunting #homesteading #gardening
i need to enrich my feed reader. -
RE: https://dobbs.town/@hobbs/116032781720531564
dear #lazyweb
hit me with your favorite RSS feeds for #homelab #selfhosting #linux #opensource #computing #programming #computerscience #cpu #microarchitecture #electronics #robotics #ai #llm #vlm #mllm #cognitivescience #consciousness #complexity #psychology #jung #philosophy #astronomy #cosmology #physics #chemistry #biology #books #literature #anthropology #jrpg #retrogaming #survival #outdoors #hunting #homesteading #gardening
i need to enrich my feed reader.
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RE: https://dobbs.town/@hobbs/116032781720531564
dear #lazyweb
hit me with your favorite RSS feeds for #homelab #selfhosting #linux #opensource #computing #programming #computerscience #cpu #microarchitecture #electronics #robotics #ai #llm #vlm #mllm #cognitivescience #consciousness #complexity #psychology #jung #philosophy #astronomy #cosmology #physics #chemistry #biology #books #literature #anthropology #jrpg #retrogaming #survival #outdoors #hunting #homesteading #gardening
i need to enrich my feed reader.
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RE: https://dobbs.town/@hobbs/116032781720531564
dear #lazyweb
hit me with your favorite RSS feeds for #homelab #selfhosting #linux #opensource #computing #programming #computerscience #cpu #microarchitecture #electronics #robotics #ai #llm #vlm #mllm #cognitivescience #consciousness #complexity #psychology #jung #philosophy #astronomy #cosmology #physics #chemistry #biology #books #literature #anthropology #jrpg #retrogaming #survival #outdoors #homesteading #gardening
i need to enrich my feed reader. -
RE: https://dobbs.town/@hobbs/116032781720531564
dear #lazyweb
hit me with your favorite RSS feeds for #homelab #selfhosting #linux #opensource #computing #programming #computerscience #cpu #microarchitecture #electronics #robotics #ai #llm #vlm #mllm #cognitivescience #consciousness #complexity #psychology #jung #philosophy #astronomy #cosmology #physics #chemistry #biology #books #literature #anthropology #jrpg #retrogaming #survival #outdoors #hunting #homesteading #gardening
i need to enrich my feed reader.
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UniGen 1.5: el modelo de IA de Apple que puede ver, crear y editar imágenes
https://mecambioamac.com/unigen-1-5-el-modelo-de-ia-de-apple-que-puede-ver-crear-y-editar-imagenes/
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UniGen 1.5: el modelo de IA de Apple que puede ver, crear y editar imágenes
https://mecambioamac.com/unigen-1-5-el-modelo-de-ia-de-apple-que-puede-ver-crear-y-editar-imagenes/
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Chào mọi người! Công cụ thay thế cục bộ **Super-Bot** vừa được ra mắt: tự viết và chạy mã (Python), tự phục hồi lỗi khi crash, kiểm tra trực quan qua ảnh chụp màn hình. Thử thành công với Ray Tracer và game Snake. Mua một lần thay vì đăng ký hàng tháng! Ý kiến bạn về AI cục bộ vs đám mây?
#AgentStudio #SuperBot #AI #MLLM #ĐạiLýTựĐộng #CôngNghệViệthttps://www.reddit.com/r/LocalLLaMA/comments/1ponuog/agent_studio/
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Не все чувства одинаково полезны: как искусственный интеллект объединяет информацию из разных источников
Новое исследование показывает, что мультимодальные модели искусственного интеллекта неравномерно полагаются на визуальные и текстовые данные, что может приводить к ошибкам при обработке противоречивой информации.
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Не все чувства одинаково полезны: как искусственный интеллект объединяет информацию из разных источников
Новое исследование показывает, что мультимодальные модели искусственного интеллекта неравномерно полагаются на визуальные и текстовые данные, что может приводить к ошибкам при обработке противоречивой информации.
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Не все чувства одинаково полезны: как искусственный интеллект объединяет информацию из разных источников
Новое исследование показывает, что мультимодальные модели искусственного интеллекта неравномерно полагаются на визуальные и текстовые данные, что может приводить к ошибкам при обработке противоречивой информации.
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Не все чувства одинаково полезны: как искусственный интеллект объединяет информацию из разных источников
Новое исследование показывает, что мультимодальные модели искусственного интеллекта неравномерно полагаются на визуальные и текстовые данные, что может приводить к ошибкам при обработке противоречивой информации.
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Kết quả test nhanh cho thấy việc sử dụng Oculink eGPU không gây ảnh hưởng tiêu cực đến hiệu năng khi chạy các dự án LLM cục bộ. Thậm chí, việc kết hợp RTX 3090 qua Oculink với RTX A6000 còn mang lại hiệu suất đáng kể.
#LocalLLaMA #eGPU #Oculink #AI #MLLM #gpu #vietnam
#trítuệnhântạo #máytính -
BDH (Baby Dragon Hatchling) đã được port sang MLX cho Apple Silicon! 🚀 Mã nguồn, tài liệu và script huấn luyện đã sẵn sàng. Model này tương thích với M1/M2/M3. Weights sẽ sớm được upload lên Hugging Face.
#LocalLLaMA #MachineLearning #AI #MLLM #HọcMáy #TríTuệNhânTạo
https://www.reddit.com/r/LocalLLaMA/comments/1o108q5/mlx_port_of_bdh_baby_dragon_hatchling_is_up/
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Ước tính chi phí sử dụng token của OpenAI: 1T tokens cho GPT-5 có thể tốn khoảng 3 triệu đô la. Một số lượng lớn người dùng đã tiêu thụ tổng cộng 112,62 triệu đô la tokens, chiếm khoảng 3% doanh thu năm 2024 của OpenAI.
#OpenAI #GPT5 #AI #MLLM # trí_tuệ_nhân_tạohttps://www.reddit.com/r/LocalLLaMA/comments/1o0or4w/how_much_does_1t_tokens_cost_how_much_did_all/
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At the @bifold.berlin conference "AI-based methods in the humanities", I have just attended a great talk by Seid Muhie Yimam of Hamburg University who confirmed my impression that there is a kind of momentum in this area at the moment. He mentioned many datasets, publications and shared tasks on African Languages. I will list them (bit by bit) in this thread.
2/x
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At the @bifold.berlin conference "AI-based methods in the humanities", I have just attended a great talk by Seid Muhie Yimam of Hamburg University who confirmed my impression that there is a kind of momentum in this area at the moment. He mentioned many datasets, publications and shared tasks on African Languages. I will list them (bit by bit) in this thread.
2/x
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At the @bifold.berlin conference "AI-based methods in the humanities", I have just attended a great talk by Seid Muhie Yimam of Hamburg University who confirmed my impression that there is a kind of momentum in this area at the moment. He mentioned many datasets, publications and shared tasks on African Languages. I will list them (bit by bit) in this thread.
2/x
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At the @bifold.berlin conference "AI-based methods in the humanities", I have just attended a great talk by Seid Muhie Yimam of Hamburg University who confirmed my impression that there is a kind of momentum in this area at the moment. He mentioned many datasets, publications and shared tasks on African Languages. I will list them (bit by bit) in this thread.
2/x
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At the @bifold.berlin conference "AI-based methods in the humanities", I have just attended a great talk by Seid Muhie Yimam of Hamburg University who confirmed my impression that there is a kind of momentum in this area at the moment. He mentioned many datasets, publications and shared tasks on African Languages. I will list them (bit by bit) in this thread.
2/x
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In der Sektion über #GlobalHistory from a global perspective geht's gerade um die Begrenzungen von LLMs für "low-resourced" languages. Da tut sich allerdings viel - nicht bei OpenAI, Google, Meta & Co. aber andernorts. Ich suche später noch weitere Links, für den Moment muss es dieser tun:
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In der Sektion über #GlobalHistory from a global perspective geht's gerade um die Begrenzungen von LLMs für "low-resourced" languages. Da tut sich allerdings viel - nicht bei OpenAI, Google, Meta & Co. aber andernorts. Ich suche später noch weitere Links, für den Moment muss es dieser tun:
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In der Sektion über #GlobalHistory from a global perspective geht's gerade um die Begrenzungen von LLMs für "low-resourced" languages. Da tut sich allerdings viel - nicht bei OpenAI, Google, Meta & Co. aber andernorts. Ich suche später noch weitere Links, für den Moment muss es dieser tun:
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In der Sektion über #GlobalHistory from a global perspective geht's gerade um die Begrenzungen von LLMs für "low-resourced" languages. Da tut sich allerdings viel - nicht bei OpenAI, Google, Meta & Co. aber andernorts. Ich suche später noch weitere Links, für den Moment muss es dieser tun:
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In der Sektion über #GlobalHistory from a global perspective geht's gerade um die Begrenzungen von LLMs für "low-resourced" languages. Da tut sich allerdings viel - nicht bei OpenAI, Google, Meta & Co. aber andernorts. Ich suche später noch weitere Links, für den Moment muss es dieser tun:
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OmniEVA: Bridging the 2D–3D Gap in Embodied AI
New paper introduces OmniEVA, a versatile embodied planner that pushes the boundaries of multimodal large language models (MLLMs) for robotics and spatial reasoning.
Results: OmniEVA achieves state-of-the-art performance across 2D/3D reasoning benchmarks and outperforms existing models in object navigation tasks.
Paper: https://arxiv.org/pdf/2509.09332v1
Project: https://omnieva.github.io/#EmbodiedAI #Robotics #LLM #MLLM #3DVision #AIResearch #AIPlanning
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OmniEVA: Bridging the 2D–3D Gap in Embodied AI
New paper introduces OmniEVA, a versatile embodied planner that pushes the boundaries of multimodal large language models (MLLMs) for robotics and spatial reasoning.
Results: OmniEVA achieves state-of-the-art performance across 2D/3D reasoning benchmarks and outperforms existing models in object navigation tasks.
Paper: https://arxiv.org/pdf/2509.09332v1
Project: https://omnieva.github.io/#EmbodiedAI #Robotics #LLM #MLLM #3DVision #AIResearch #AIPlanning
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OmniEVA: Bridging the 2D–3D Gap in Embodied AI
New paper introduces OmniEVA, a versatile embodied planner that pushes the boundaries of multimodal large language models (MLLMs) for robotics and spatial reasoning.
Results: OmniEVA achieves state-of-the-art performance across 2D/3D reasoning benchmarks and outperforms existing models in object navigation tasks.
Paper: https://arxiv.org/pdf/2509.09332v1
Project: https://omnieva.github.io/#EmbodiedAI #Robotics #LLM #MLLM #3DVision #AIResearch #AIPlanning
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OmniEVA: Bridging the 2D–3D Gap in Embodied AI
New paper introduces OmniEVA, a versatile embodied planner that pushes the boundaries of multimodal large language models (MLLMs) for robotics and spatial reasoning.
Results: OmniEVA achieves state-of-the-art performance across 2D/3D reasoning benchmarks and outperforms existing models in object navigation tasks.
Paper: https://arxiv.org/pdf/2509.09332v1
Project: https://omnieva.github.io/#EmbodiedAI #Robotics #LLM #MLLM #3DVision #AIResearch #AIPlanning
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OmniEVA: Bridging the 2D–3D Gap in Embodied AI
New paper introduces OmniEVA, a versatile embodied planner that pushes the boundaries of multimodal large language models (MLLMs) for robotics and spatial reasoning.
Results: OmniEVA achieves state-of-the-art performance across 2D/3D reasoning benchmarks and outperforms existing models in object navigation tasks.
Paper: https://arxiv.org/pdf/2509.09332v1
Project: https://omnieva.github.io/#EmbodiedAI #Robotics #LLM #MLLM #3DVision #AIResearch #AIPlanning
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And consider following the authors Jiahui Geng (MBZUAI), Thy Thy Tran (UKP Lab/Technische Universität Darmstadt), Preslav Nakov (MBZUAI), and Iryna Gurevych (UKP Lab & MBZUAI)
See you in Vienna! #ACL2025 !
(4/4)
#MLLM #AISafety #Jailbreak #Multimodal #ConInstruction #ACL2025 #LLMRedTeaming #VisionLanguage #AudioLanguage#NLProc
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And consider following the authors Jiahui Geng (MBZUAI), Thy Thy Tran (UKP Lab/Technische Universität Darmstadt), Preslav Nakov (MBZUAI), and Iryna Gurevych (UKP Lab & MBZUAI)
See you in Vienna! #ACL2025 !
(4/4)
#MLLM #AISafety #Jailbreak #Multimodal #ConInstruction #ACL2025 #LLMRedTeaming #VisionLanguage #AudioLanguage#NLProc
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And consider following the authors Jiahui Geng (MBZUAI), Thy Thy Tran (UKP Lab/Technische Universität Darmstadt), Preslav Nakov (MBZUAI), and Iryna Gurevych (UKP Lab & MBZUAI)
See you in Vienna! #ACL2025 !
(4/4)
#MLLM #AISafety #Jailbreak #Multimodal #ConInstruction #ACL2025 #LLMRedTeaming #VisionLanguage #AudioLanguage#NLProc
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And consider following the authors Jiahui Geng (MBZUAI), Thy Thy Tran (UKP Lab/Technische Universität Darmstadt), Preslav Nakov (MBZUAI), and Iryna Gurevych (UKP Lab & MBZUAI)
See you in Vienna! #ACL2025 !
(4/4)
#MLLM #AISafety #Jailbreak #Multimodal #ConInstruction #ACL2025 #LLMRedTeaming #VisionLanguage #AudioLanguage#NLProc
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And consider following the authors Jiahui Geng (MBZUAI), Thy Thy Tran (UKP Lab/Technische Universität Darmstadt), Preslav Nakov (MBZUAI), and Iryna Gurevych (UKP Lab & MBZUAI)
See you in Vienna! #ACL2025 !
(4/4)
#MLLM #AISafety #Jailbreak #Multimodal #ConInstruction #ACL2025 #LLMRedTeaming #VisionLanguage #AudioLanguage#NLProc
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Chinese scientists find first evidence that AI could think like a human https://www.byteseu.com/1105727/ #AIModels #ChatGPT3.5 #ChineseAcademyOfSciences #gemini #GeminiProVision1.0 #HeHuiguang #HumanCognition #LargeLanguageModels #MLLM #NatureMachineIntelligence #OpenAI #Science #SouthChinaUniversityOfTechnology
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"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
Headline of the week. 🥰
OpenAI shocked that an AI company would train on someone else's data without permission or compensation.
404media.co/openai-furious-dee… (no-charge subscription wall for full article)
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"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
Headline of the week. 🥰
OpenAI shocked that an AI company would train on someone else's data without permission or compensation.
404media.co/openai-furious-dee… (no-charge subscription wall for full article)
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"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
Headline of the week. 🥰
OpenAI shocked that an AI company would train on someone else's data without permission or compensation.
404media.co/openai-furious-dee… (no-charge subscription wall for full article)
-
"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
Headline of the week. 🥰
OpenAI shocked that an AI company would train on someone else's data without permission or compensation.
404media.co/openai-furious-dee… (no-charge subscription wall for full article)
-
"OpenAI Furious DeepSeek Might Have Stolen All the Data OpenAI Stole From Us"
Headline of the week. 🥰
OpenAI shocked that an AI company would train on someone else's data without permission or compensation.
404media.co/openai-furious-dee… (no-charge subscription wall for full article)
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@peer Dann wäre das #LLM ein Multimodal Large Language Model (#MLLM). Genau das ist der Punkt: Wenn Du in einem Raum sitzt, in dem chinesisches Radio läuft, lernst Du nicht Chinesisch. Ein LLM schon. Es lernt ganz anders als wir. Es lernt nur die Distribution von Sprachteilen. Wir lernen mit Grounding. Das wird in der KI auch kommen, aber jetzt ist es noch nicht so weit und deshalb sind die LLMs noch nicht der Beweis, dass Chomsky falsch lag, aber 1) wussten wir das schon vor den LLMs und 2) machen die LLMs das auch für Laien und hardcore Chomskyaner (die vorher einfach die Literatur nicht gelesen hatten) plausibel.
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@peer Dann wäre das #LLM ein Multimodal Large Language Model (#MLLM). Genau das ist der Punkt: Wenn Du in einem Raum sitzt, in dem chinesisches Radio läuft, lernst Du nicht Chinesisch. Ein LLM schon. Es lernt ganz anders als wir. Es lernt nur die Distribution von Sprachteilen. Wir lernen mit Grounding. Das wird in der KI auch kommen, aber jetzt ist es noch nicht so weit und deshalb sind die LLMs noch nicht der Beweis, dass Chomsky falsch lag, aber 1) wussten wir das schon vor den LLMs und 2) machen die LLMs das auch für Laien und hardcore Chomskyaner (die vorher einfach die Literatur nicht gelesen hatten) plausibel.
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@peer Dann wäre das #LLM ein Multimodal Large Language Model (#MLLM). Genau das ist der Punkt: Wenn Du in einem Raum sitzt, in dem chinesisches Radio läuft, lernst Du nicht Chinesisch. Ein LLM schon. Es lernt ganz anders als wir. Es lernt nur die Distribution von Sprachteilen. Wir lernen mit Grounding. Das wird in der KI auch kommen, aber jetzt ist es noch nicht so weit und deshalb sind die LLMs noch nicht der Beweis, dass Chomsky falsch lag, aber 1) wussten wir das schon vor den LLMs und 2) machen die LLMs das auch für Laien und hardcore Chomskyaner (die vorher einfach die Literatur nicht gelesen hatten) plausibel.
